arXiv
Efficient Test-Time Adaptation through Human-AI Interaction
AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet...
AI前沿
arXiv
A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle
This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniatu...
arXiv
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
As terminal-based code agents become prevalent, agent trajectories have accumulated at scale, while realistic, execut...
arXiv
SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center
Large language model (LLM) agents are increasingly proposed as autonomous SOC analysts, but two limitations make them...
arXiv
From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research
Research and news coverage of language-model deception increasingly attributes human-like mental-state concepts to la...
arXiv
SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents
Repository-level software engineering benchmarks have significantly advanced the evaluation of coding agents, but exi...
arXiv
A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and bui...
arXiv
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher. E...
arXiv
A Computationally Feasible Framework for Causal Probabilistic Explanation
Explaining why a specific outcome occurred, and which inputs deserve the blame or credit, is central to philosophical...
arXiv
Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views
Gaps remain in our understanding of how large language models (LLMs) acquire knowledge during pre-training. We posit ...
arXiv
Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning
Weakly-Supervised Dense Video Captioning aims to localize and describe multiple events in untrimmed videos given only...
arXiv
One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing
Video editing spans diverse editing paradigms, yet achieving high-quality instruction-guided and subject-guided editi...
arXiv
ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
Evolutionary prompt optimizers such as GEPA suffer from prompt bloat: each iteration appends rules and caveats, produ...
arXiv
Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints
Language-model judges now gate training data, score generations, and drive leaderboards. The judge is then a measurem...
arXiv
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remot...
HuggingFace
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
As terminal-based code agents become prevalent, agent trajectories have accumulated at scale, while realistic, execut...
HuggingFace
Principia: Relational Physics Tests for Video Models
Evaluating physical reasoning in video models is difficult because absolute motion measurements depend on frame rate,...
HuggingFace
Environment Evolution for Terminal Agents
Scaling interactive and verifiable environments is critical for training terminal agents. As frontier models become m...
HuggingFace
Editable Visual Design
While diffusion base models such as GPT-Image-2 and Nano-Banana exhibit remarkable visual expressiveness, their end-t...
HuggingFace
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
MLLM-based embedding models remain limited in compositional retrieval, often failing to distinguish scenes containing...
HuggingFace
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher. E...
HuggingFace
Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
Large language models achieve superior performance on tasks that require extended reasoning, but long chains of thoug...
HuggingFace
WorldReward: Reward Modeling for Camera-Conditioned World Models
Camera-conditioned world models generate interactive videos in which commanded actions should induce the expected sce...
HuggingFace
FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow
We present FlashRender, a few-step generative rendering framework that retakes a source video along a target camera t...
HuggingFace
The Missing Temporal Link: Temporal Context Routing for Script-Driven Audio-Video Generation
Joint audio-video generation models have made substantial progress in visual quality and audio-visual synchronization...
HuggingFace
Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding
Streaming video understanding requires multimodal large language models (MLLMs) to process continuous visual inputs a...
HuggingFace
Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
We propose Puffin-World, a unified multimodal architecture that integrates physical understanding, spatial simulation...
HuggingFace
Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training
Large language models offer broad capabilities, but adapting them to evolving domains, tools, and requirements often ...
HuggingFace
PACE: Towards Surfacing Hidden Conflicts in User Requests
Personalized assistants should not only comply with user requests but also assess whether those requests are appropri...
HuggingFace
Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance
We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks toward invar...
HuggingFace
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remot...
HuggingFace
Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration
Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the associated top-1 p...
HuggingFace
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fi...
HuggingFace
Using Grounded Theory for Agent Behavior Analysis at Scale
Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in lon...
HuggingFace
FoldingAgent: Inferring Parametric Origami Procedures from Demonstration Videos
We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origam...
HuggingFace
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
Multimodal models often build on architectures designed for generative vision-language modeling, typically combining ...
HuggingFace
Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations
Spatial return models take the interaction matrix as given and leave feedback uninterpreted. We construct a bandwidth...
HuggingFace
Portfolio Risk Bounds without Cross-Asset Return Covariances: Distributional Fields from Language-Model Representations
Portfolio risk assessment ordinarily relies on reliable estimates of cross-asset return covariances, which are diffic...
HuggingFace
Debias-SparseGPT: Bias-Aware Pruning for Large Language Models
Model compression techniques such as pruning and quantization facilitate the efficient deployment and acceleration of...
HuggingFace
Small Language Models as Judges for Rubric-Based Reinforcement Learning
Rubric-based reinforcement learning extends RL beyond tasks with exact answers or rule-based verifiers by scoring res...
HuggingFace
WHALE: A Simple Recipe for Joint Harness-Weight Optimization
Agent performance depends jointly on the model parameters and the executable harness code that manages context and co...
HuggingFace
Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
A language model's prediction of its next token develops across layers, and lens methods track this process by decodi...
HuggingFace
An Empirical Study on Zero-Data Bootstrapping for Conversational Recommender Systems
Conversational Recommender Systems (CRS) typically require domain-specific dialogue data, which is costly, scarce, an...
arXiv
Language Models Can Control Their Own Attention
Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to fi...
arXiv
HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design
Polymeric materials are central to modern technologies, with applications ranging from energy to health and transport...
arXiv
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model ...
arXiv
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve throu...
arXiv
Untangling the Mechanisms of Misleading Context in Medical Question Answering
Large language models now answer medical questions with expert-level performance. However, the context these systems ...
arXiv
Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents
On-premise assistants can give factory workers conversational access to machine documentation, but models capable of ...
arXiv
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention va...
arXiv
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with th...
arXiv
Dutch Books for Language Models
People increasingly use language models to support life decisions. Many such decisions involve a probabilistic foreca...
arXiv
frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study
For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record ha...
arXiv
Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis
Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations i...
arXiv
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application
Researchers increasingly use artificial intelligence to construct measures of social, organizational, and occupationa...
arXiv
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Competitive programming has become a key test of large language model reasoning, with international competitions such...
arXiv
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
Autonomous robots powered by deep learning face a fundamental auditability challenge: when incidents occur, investiga...
arXiv
Discriminative World Models for Web Agents
Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resul...
HuggingFace
Cliff: Learning Process Rewards from the First Mistake
Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language model (LL...
HuggingFace
Kirin: Animal Motion Generation from In-the-Wild Video
Understanding animal motion is fundamental to modeling animal behavior and biomechanics, yet progress in this area la...
HuggingFace
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Competitive programming has become a key test of large language model reasoning, with international competitions such...
HuggingFace
On the Design Fundamentals of Pixel Text Representation Learning
Text-rich visual inputs require models that can read, retrieve, and compress language directly in pixel space, yet ex...
HuggingFace
Language Models Can Control Their Own Attention
Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to fi...
HuggingFace
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single ...
HuggingFace
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model ...
HuggingFace
S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?
Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral e...
HuggingFace
Aspire: Can Models Self-Evolve from Vague Goals?
Many important forms of human learning begin with a vague goal, such as "become a better physicist" or "improve at re...
HuggingFace
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
As agents move from research prototypes to deployed tools, their capability increasingly depends on model-external ex...
HuggingFace
Institutional Newspapers Pipeline: Deriving billions of high quality tokens from historical newspapers
Historical newspapers are an abundant record of public life, but their dense, irregular and sometimes noisy layouts m...
HuggingFace
CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing
The attention prefilling phase of long-context LLM inference scales quadratically, making self-attention a severe com...
HuggingFace
A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss
An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-language ...
HuggingFace
VibeVoice-ASR-Streaming Technical Report
Traditional speaker-attributed ASR systems treated ASR and speaker diarization as two separate tasks. Recently, end-t...
HuggingFace
SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions
Mobile AI acts as a visual oracle, empowering users to snap a picture of something and ask for information. Snap-and-...
HuggingFace
ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize...
HuggingFace
Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models
Large language models (LLMs) trained only on text and code can sometimes generate programs that draw recognizable ima...
HuggingFace
Beyond Visual Similarity: Entity-Aligned Retrieval for Knowledge-Based Visual Question Answering
Knowledge-Based Visual Question Answering (KB-VQA) relies on retrieving external information to answer queries involv...
HuggingFace
Exploring Collaboration between a language and a non-language agent
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through ...
HuggingFace
Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM Agents
Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely contr...
HuggingFace
From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix
Data-residency constraints force enterprises to self-host LLMs, but continuous adoption of newer models without decom...
HuggingFace
Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry
Multimodal geometry reasoning requires VLMs to extract precise visual relations and preserve them through multi-step ...
HuggingFace
DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation
Commercial short-drama production follows a multi-stage chain: script, storyboard, keyframe imagery, shot-level video...
HuggingFace
Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
Test-time adaptation (TTA) typically assumes that model parameters can be updated at inference time. This assumption ...
HuggingFace
Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data
Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and P...
HuggingFace
AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling
LLM judges are widely used to evaluate agentic tool-calling systems, yet their reliability on structured, dependency-...
HuggingFace
Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall
Logit-based knowledge distillation (KD) is used to train smaller language models (LMs) via supervision from stronger ...
HuggingFace
Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds
Dexterous manipulation policies learned by imitation are typically evaluated for robustness to variation in scenes, o...
HuggingFace
Agent Memory Is a Surface for Endogenous Authorization Laundering
Long-running LLM agents rely on persistent memory to carry state across interactions, including permissions, restrict...
HuggingFace
RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated Gi...
arXiv
Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due...
arXiv
A Mathematical Theory of Reusable Neural Bases for Network Compression
As large AI models become increasingly prevalent across a wide range of applications, memory cost has become a critic...
arXiv
Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
Scientific equation discovery has long been central to scientific progress, proceeding through iterative cycles of hy...
arXiv
BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net
Automated lesion segmentation in whole-body PET/CT is complicated by the variety of physiological tracer uptake patte...
arXiv
Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories
We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that sha...
arXiv
H3-World: Turning Language Understanding into World Control
We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world m...
arXiv
From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
Large language models (LLMs) struggle to classify text into taxonomies with many semantically similar labels, as the ...
arXiv
Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers
Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as polic...
arXiv
Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
How to divide a fixed annotation budget between supervised fine-tuning (SFT) and reinforcement learning (RL) during L...
arXiv
Designing Proactive Thought Partners for Writing
Writing involves diverse cognitive activities, from ideation to revision, and writers' needs vary across individuals ...
arXiv
Mechanism Design for Alignment and Control
We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (feasible a...
arXiv
The Rise of Verbal Reinforcement Learning
Natural language is emerging as a primary feedback channel for improving language agents, capable of conveying intent...
arXiv
CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?
Dynamic agent harnesses let language models change the software that shapes their own execution. This flexibility bri...
arXiv
Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation
The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining...
arXiv
Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation
Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code...
HuggingFace
The Mechanics of Democratic Dominance: A System Dynamics Paradigm for Dynamic Consent Engineering
Traditional frameworks of political communication operate under linear, event-driven assumptions that treat voter per...
HuggingFace
InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal
Generating professional scholarly content, such as peer reviews and rebuttals, requires an intricate synergy between ...
HuggingFace
ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation
SAR-to-EO image translation aims to generate electro-optical (EO) imagery from synthetic aperture radar (SAR) observa...
HuggingFace
EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
Multimodal memory offers a scalable interface for long-video question answering, but existing methods often retrieve ...
HuggingFace
Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
A central bottleneck in multi-hop Question Answering (QA) is that the granularity at which a question is expressed of...
HuggingFace
Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System
While unified multimodal models (UMMs) jointly perform visual understanding and generation within a single model, fun...
HuggingFace
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs
Prompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled ro...
HuggingFace
Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching
Multimodal Large Language Models (MLLMs) are strong perceivers of images and video. We ask how far that reach extends...
HuggingFace
StudentSim: Training LLM-based Student Simulators
AI tutors are most useful when they adapt to each student's strengths, weaknesses, and preferred guidance, but eviden...
HuggingFace
H3-World: Turning Language Understanding into World Control
We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world m...
HuggingFace
E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation
Long-horizon agentic tasks go beyond chaining short tasks over more interaction turns. Their evolving dynamic environ...
HuggingFace
ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training
Robotic manipulation faces a fundamental scaling challenge: robust generalization demands broad physical experience, ...
HuggingFace
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
We present Qwen-Drive-1.0, an initial step towards a vision-language foundation model for autonomous driving. Qwen-Dr...
HuggingFace
UI-Venus-2 Technical Report
Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchm...
HuggingFace
Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement
This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirement...
HuggingFace
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers
Looped Transformers increase effective depth by iterating a shared block of layers, but most evaluations compare at f...
HuggingFace
Safin-1: Safety from Within through Memory-Native State Evolution
Long-horizon complex tasks require foundation models to accumulate information, maintain internal states, and adapt o...
HuggingFace
DiagEvo: Diagnosis-Guided Self-Evolution via Hierarchical Error Memory
Self-play is an effective paradigm for language-model self-evolution, but without guidance, solver performance can pl...
HuggingFace
Agents in the Large: Perception-Centered Architecture for Persistent Agents
Cognitive language agents have achieved substantial progress by equipping language models with memory, tools, and dec...
HuggingFace
Recursive Criticality of AI Self-Improvement
AI is increasingly used in the R\&D process that produces future AI systems. We study the conditions under which this...
HuggingFace
Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions
End-to-end weather forecasting systems produce skillful global gridded and station forecasts directly from raw Earth ...
HuggingFace
EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants
Large language models can generate interactive web interfaces, but reliable generative UI requires maintaining an exe...
HuggingFace
Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered
Chain-of-thought (CoT) monitoring assumes that reasoning traces faithfully record the information that shapes a model...
HuggingFace
ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models
Text-to-image models learn associations between concepts - in the case of this paper, people's professions, which we ...
HuggingFace
SpanCalib-VLM: Calibrated Hallucination Span Detection in Vision-Language Models
Detecting hallucinations in Large Vision-Language Models (LVLMs) requires both accurate span localization and well-ca...
HuggingFace
MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation
Multimodal misinformation on social media is highly prevalent, potent, and harmful, yet difficult to detect and count...
HuggingFace
CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions
Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose...
HuggingFace
RECAP-Forcing: Retaining Content Appearances for Long Video Generation
Long autoregressive video generation faces a fundamental memory challenge: with a finite attention window, a model mu...
arXiv
MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents
AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an e...
arXiv
Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents
Agent working memory is heterogeneous. Objects such as instructions, artifacts, tool outputs, and agent-generated sta...
arXiv
Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores
When a large language model fails a reasoning task, it is often assumed to lack the underlying capability. However, t...
arXiv
Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring
We propose a lightweight two-stage framework for real-time video anomaly detection. The first stage employs YOLO v11n...
arXiv
Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence
Recent advances in large reasoning models (LRMs) have shown that reinforcement learning with verifiable rewards (RLVR...
arXiv
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Autonomous scientific research agents are increasingly applied to end-to-end scientific workflows, including literatu...
arXiv
Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization
Outcome-based reinforcement learning provides verified feedback for language-model agents, but assigns trajectory-lev...
arXiv
Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data
Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and P...
arXiv
Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations
Accurate daily predictions of cold hardiness in woody plants are critical in regions where freezing temperatures can ...
arXiv
LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering
Industrial post-training is a brownfield regime. Teams inherit a deployed checkpoint and must land targeted improveme...
arXiv
BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing
Users of a deployed language model routinely encounter behaviours that testing almost never surfaces, since deploymen...
arXiv
When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning
The effect of Large Language Model (LLM) scale on ontology learning (OL) performance remains insufficiently character...
arXiv
OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
Ontology alignment (OA) has evolved through several methodological paradigms, ranging from lexical and structural ali...
arXiv
Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification
The 2025--2026 AI market has seen a wave of stealth releases: frontier models launched anonymously on developer platf...
arXiv
SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies
Bridging model-based control and learned policies in long-horizon manipulation has harbored a silent disagreement: co...
HuggingFace
Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation
Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop b...
HuggingFace
Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling
Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observe...
HuggingFace
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B paramet...
HuggingFace
PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback
Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., 2026; Zhu et al.,...
HuggingFace
Matrix-Game 3.5: Enhancing Real-Time Streaming Interactive World Models with Patch Memory
Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interact...
HuggingFace
Normalized Low-Rank Adaptation
While low-rank adaptation (LoRA) is widely used for parameter-efficient model adaptation, how to regularize its train...
HuggingFace
Dynamic Important Example Mining for Reinforcement Finetuning
Reinforcement fine-tuning (RFT) is increasingly used to strengthen the reasoning abilities of large models, yet its e...
HuggingFace
SHAPE of Chain-of-Thought in Math Reasoning
Large language models (LLMs) achieve strong performance on mathematical reasoning benchmarks, yet the mathematically ...
HuggingFace
Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching
Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is sco...
HuggingFace
Verification-Aware Training for Speculative Decoding
Speculative decoding accelerates large language model inference by using a draft model to generate candidate tokens, ...
HuggingFace
Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions
Strategic deception by LLM and VLM agents has emerged as a central AI alignment and safety concern. Social-deduction ...
HuggingFace
DICS: Exploring Data Intrinsic Consistency for Visual Instruction Selection
Visual instruction tuning is crucial for advancing the vision-language alignment and instruction-following capabiliti...
HuggingFace
Keep-or-Drop? Adaptive Tokenizer for Compact Video Representation
Latent diffusion models have emerged as a dominant framework for high-fidelity image and video synthesis, operating i...
HuggingFace
WebWorld: The Browser as a World Model for Self-Improving Web Code
VLM-driven self-improvement of web code has a structural flaw: the model that proposes the repair is the model that j...
HuggingFace
LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation
Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across task...
HuggingFace
Evaluating the Hidden Costs of Personalization in Large Language Models
While Large language models (LLMs) incorporate user personalization signals to improve usability and helpfulness, the...
HuggingFace
SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models
Multimodal safety moderation requires distinguishing risks arising from visual content, user intent, and assistant be...
HuggingFace
Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase
Organizations often develop and maintain portfolios of related applications: independently deployable codebases that ...
HuggingFace
Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models
Recent work on image content manipulation based on vision-language pre-training models has been effectively extended ...
HuggingFace
DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution
Recent video generators often omit audio or synthesize it in a separate stage, limiting reciprocal modeling of visual...
HuggingFace
LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing e...
HuggingFace
Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models
Vision-Language-Action (VLA) models can turn multimodal context into robot actions, but their action decoders are sti...
HuggingFace
Lost in Compression: A Controlled Cross-Lingual Audit of Extractive Prompt Compressors
Extractive prompt compression promises to cut LLM inference costs by removing low-information tokens, and learned com...
HuggingFace
Sliding-window beats linear attention
Due to the nature of quadratic attention, Large Language Models (LLMs) consume a lot of memory and energy. Every new ...
HuggingFace
Generative Semantic Scene Completion
Outdoor LiDAR semantic scene completion (SSC) recovers a dense semantic voxel grid from a scan observing 1% of the ta...
HuggingFace
EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses
LLM agents increasingly modify their own prompts, tools, middleware, resources, and execution harnesses at runtime. S...
HuggingFace
Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents
Interactive dialogue games test a capability that static benchmarks largely leave implicit: a model must carry state ...
HuggingFace
Ask or Answer: A Decision Framework for Multi-Turn Health Misinformation Intervention
Correcting health misinformation in dialogue requires more than producing a factual rebuttal: users differ in what th...
arXiv
How Proper Scoring Rules Shape LLM Forecasting
This paper evaluates how reward function choice shapes the performance and behavior of LLM forecasters. We compare fi...
arXiv
LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment
Software and systems security workflows are typically procedural: analysts inspect heterogeneous artifacts, form hypo...
arXiv
AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction
Predicting robot videos requires both precise motion reasoning and preservation of high-frequency appearance, yet mon...
arXiv
On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces
AI coding agents, software tools that automate development tasks through reasoning and tool use, are increasingly ext...
arXiv
Training Communication-Efficient Mixture-of-Experts Language Models with Layer Re-Configuration
When training Mixture-of-Experts (MoE) language models with expert parallelism, all-to-all token dispatch and combine...
arXiv
Conformal Uncertainty Quantification Guarantees for Neural Operators
Neural operators provide fast surrogate models for approximating operators between function spaces, but their predict...
arXiv
When Robots Mishear Us: Mapping the Safety Risks of Voice-Controlled Embodied AI
We investigate whether automatic speech recognition (ASR) errors in user input can lead to unsafe outputs from Embodi...
arXiv
Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks
Texture image classification plays a significant role in computer vision applications, including industrial inspectio...
arXiv
InstructMesh: Selective Refinement of Generative 3D Models for Fabrication
Recent advances in generative AI allow users to create 3D models from text or images. However, these models prioritiz...
arXiv
An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models
A code world model accepted by a sampling gate can be exactly right on everything the gate can see and arbitrarily wr...
arXiv
Video Generative Models as Geometry Learner
Recent generative approaches to geometry estimation adapt pretrained image diffusion models and treat the task as ima...
arXiv
Logos: An Agent Harness on a Cross-Process Bus
Modern agent systems assemble capabilities at runtime, and this dynamic composition has recently received a complete ...
arXiv
Blog: Survey of Optimizers
Neural-network optimization in 2025-2026 is no longer well described as a succession of new Adam variants. The design...
arXiv
Learning a Size-Weight Frontier for Synthetic-Augmented Inference
Synthetic data can improve statistical inference when real data are scarce, but naively treating synthetic samples as...
arXiv
Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning
Tendon-driven hands are anthropomorphic, and moving the actuators off the joints is what makes a hand of this capabil...
HuggingFace
PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control
Multimodal large language models (MLLMs) can integrate long visual histories, reason under partial observability, and...
HuggingFace
Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robot trajectories are...
HuggingFace
Training, learning and inference: unified dynamics of neural systems
We define an atomic generation fact f=(u,tau,omega,z;rho), recording the origin, realized transformation, concrete oc...
HuggingFace
LMSM: LLM Security Framework Inspired by Linux Security Modules
Large language models (LLMs) are increasingly deployed with layered defenses, yet malicious prompts can still bypass ...
HuggingFace
Video Generative Models as Geometry Learner
Recent generative approaches to geometry estimation adapt pretrained image diffusion models and treat the task as ima...
HuggingFace
Rubric-to-Code Credit Assignment for Reinforcement Learning
Interactive web application generation requires models to produce usable HTML, CSS, and JavaScript applications from ...
HuggingFace
StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing
LLM-based agents can interact with external environments through tool invocation, but this capability also introduces...
HuggingFace
Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction
Streaming 3D reconstruction from extremely long videos requires estimating camera motion and scene geometry online un...
HuggingFace
J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data
Self-evolving language models have recently emerged as a promising path toward superintelligence, with the advantage ...
HuggingFace
StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments
We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fix...
HuggingFace
Paint What You See: Benchmarking Dexterous Visual Tool Use in Multimodal Agents
Evaluation is shifting from static QA toward agentic settings where models act through external tools. We identify a ...
HuggingFace
Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090
Language model pretraining has become almost synonymous with prohibitive cost, placing it out of reach for much of th...
HuggingFace
LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent conte...
HuggingFace
Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion
Scaling video generation to long durations reveals a critical bottleneck: current models lack robust long-term memory...
HuggingFace
Fast Weight Attention for Continual Learning
Recurrent fast-weight memories and selective state-space models compress an expanding context into a fixed-size recur...
HuggingFace
Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding
Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and localize the targ...
HuggingFace
DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for building autonomous...
HuggingFace
Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities
Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of ...
HuggingFace
Language Chain in Alignment: Cross-lingual Ranking Preference Optimization
The alignment of Large Language Models heavily relies on English-centric high-quality preference data, which often le...
HuggingFace
GGSS: Geodesic-Gated Spherical Steering for Inference-Time Debiasing of Generative Vision-Language Models
Generative vision-language models (VLMs) are increasingly used in human-centered settings, yet they can produce demog...
HuggingFace
EditaLive! Unified Character Video Editing for Live Streaming
Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis o...
HuggingFace
What Does an Evaluation License? A Commit-Bound Census of Claim-Relative Inference in Inspect Evals
Evaluation artifacts specify a forward computation: a task, scorer, and reported metric. They do not necessarily lice...
HuggingFace
TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback
Contact-rich manipulation requires adapting to contact states that can evolve substantially within an action horizon....
HuggingFace
CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes
Recent advances in inference-time scaling have significantly improved the reasoning performance of large language mod...
HuggingFace
Luce: Relightable Gaussians for 3D Asset Generation
High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To supp...
GitHub
[GitHub] koala73/worldmonitor
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tra...
arXiv
Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models
Joint-Embedding Predictive Architectures (JEPAs) for world modeling typically employ fixed-size Vision Transformer en...
arXiv
CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is...
arXiv
Property-Specific Recoverability from Contact PPG to Camera rPPG under Heterogeneous Observation Conditions
Camera-derived remote photoplethysmography (rPPG) is commonly validated through endpoint accuracy, but endpoint perfo...
arXiv
LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
Video carries the temporal structure of the physical world, yet learning representations from it has remained computa...
arXiv
Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction
Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploi...
arXiv
How Language Models Organize and Structure Moral Knowledge
How do large language models (LLMs) organize moral knowledge? Models detect moral content broadly, but detection is a...
arXiv
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing th...
arXiv
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsel...
arXiv
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifac...
arXiv
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentati...
arXiv
Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
Chemical reactions are fundamentally transformations in electron space, yet most machine learning approaches model th...
arXiv
RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful...
arXiv
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
In real-world software development, code review typically involves iterative interactions between developers and revi...
arXiv
SWE-Prime: Fewer Trajectories, Better Performance
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructi...
arXiv
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. R...
HuggingFace
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agent...
HuggingFace
Magpie: Real-Time World Renderer for Interactive Games
Modern game development relies heavily on conventional graphics pipelines. High-quality visual content requires model...
HuggingFace
Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO
Evolution Strategies (ES) have recently emerged as a memory-efficient post-training paradigm for LLM reasoning. Howev...
HuggingFace
Self-OPD: On-Policy Distillation for Flow Matching Models without Teacher
On-policy distillation (OPD), which leverages a pre-trained, specialized teacher model to provide dense supervisory s...
HuggingFace
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. R...
HuggingFace
Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization
Zero-shot cross-task generalization, where a policy must execute manipulation tasks never seen during training, remai...
HuggingFace
UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City
Multimodal large language models (MLLMs) can interpret a street view, but urban agency depends on whether such local ...
HuggingFace
PAWBench: How Far Are We from Probabilistically Aligned World Modeling?
Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more th...
HuggingFace
CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehension
Large-scale vision-language models (VLMs) have demonstrated remarkable versatility across a wide range of multimodal ...
HuggingFace
Training Agents to Evolve with Their Harness: TaoLive Digital Avatar Agent Technical Report
AI-powered digital avatar streamers must answer product questions, engage viewers, and execute marketing strategies i...
HuggingFace
CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval
Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they...
HuggingFace
Aphanta: Diagnosing Task-Aligned Image-Edited Intermediates for Multimodal Reasoning
Explicit visual intermediates can help multimodal large language models (MLLMs) externalize spatial evidence and upda...
HuggingFace
TTPO: Test-Time Policy Optimization
Recent prominent post-training methods, such as Reinforcement Learning (RL) and On-Policy Self-Distillation (OPSD), h...
HuggingFace
GameWAM: A World Action Model for Video Games
Modern video games combine first-person perception, rapid visual changes, persistent world state, and heterogeneous n...
HuggingFace
Thinking on Shots: Consistent Multi-Shot Video Editing with Agentic Reasoning
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or shor...
HuggingFace
Procedura: Agentic 3D Modeling with Procedural Control
Native 3D generators now recover impressive mesh geometry from a single image. However, a dense mesh stays soft where...
HuggingFace
Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models
A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this st...
HuggingFace
PILOT in the Loop: Live Self-Improvement for Long-Horizon Agents
Long-horizon agent runs generate experience that can improve both the current run and future work. Most self-improvem...
HuggingFace
LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
We introduce LibriBrain100, a large-scale MEG dataset for speech decoding designed from the ground up for reproducibl...
HuggingFace
Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling
The development of 0.1^{circ} global weather forecasting models based on machine learning (ML) is constrained by the ...
HuggingFace
Prefix Sliding for efficient test-time scaling
Test-time scaling uses extra test-time compute to improve performance, such as letting language models reason longer ...
HuggingFace
Skill Issue: Are Skills Language-Invariant in LLMs?
Large language models access knowledge inconsistently across languages, but to what extent do they differ in their sk...
HuggingFace
GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Grounding
Computer-use agents ground natural-language instructions in screenshots to locate interface elements, yet existing be...
arXiv
DualOPSD: Adaptive Privileged Teachers for On-Policy Self-Distillation
On-policy self-distillation (OPSD) uses a privileged copy of the student model to provide dense supervision without a...
arXiv
Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems
Answer accuracy is an insufficient reliability signal for LLM data agents. In structured-data tasks, a benchmark-corr...
arXiv
The Value of Human Expertise
We consider optimization applications with unknown parameters where the decision maker believes that the optimal valu...
arXiv
How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention
Choosing the rank of a low-rank adaptation (LoRA) update is usually an empirical task. In this paper, we provide a ta...
arXiv
$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning
Reasoning in language allows foundation models to spend more test-time compute on hard problems, such as those requir...
arXiv
Prefix Sliding for efficient test-time scaling
Test-time scaling uses extra test-time compute to improve performance, such as letting language models reason longer ...
arXiv
Gating Before Commitment: Anticipating Intent Divergence to Prevent Post-Interaction Decision Failures in Autonomous Driving
Intent misinterpretation during vehicle interactions causes recurring planning failures. We study a decision layer in...
arXiv
SwarmWorld: Stigmergic technological evolution in societies of language-model agents
Collective intelligence can emerge when individuals coordinate through a shared environment, allowing local actions t...
arXiv
ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing
Deep neural networks often exploit spurious associations in their training data, a failure known as shortcut learning...
arXiv
TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development
Large language models write correct code for isolated problems but remain far weaker at autonomous machine-learning d...
arXiv
Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings
Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic v...
arXiv
Finding and using interpretable latents in a neutrino foundation model with sparse autoencoders
We present a first application of sparse-autoencoder-based mechanistic interpretability to particle physics. Studying...
arXiv
MyoMechanix: Biomechanically-Grounded Compositional Skilled Activity Understanding and Coaching
Existing action quality assessment (AQA) datasets and methods rely primarily on visual inputs such as RGB and pose, o...
arXiv
A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training
In this paper, we explore a novel task of Multimodal Unsupervised Continual Post-Training (MU-CPT), enabling deployed...
arXiv
VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning
Native visual reasoning treats visual generation as the medium of reasoning itself: visual states (i.e. images and vi...
HuggingFace
VGI-BENCH: Probing Visual Intelligence in Video Generation Models
Recent studies suggest that video generation models can exhibit certain forms of zero-shot visual reasoning through g...
HuggingFace
JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution
Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning st...
HuggingFace
V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning
Vision-language models can produce fluent answers that are insufficiently grounded in the visual evidence: a single u...
HuggingFace
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Multi-teacher on-policy distillation (M-OPD) has emerged as a promising paradigm for consolidating domain-specialized...
HuggingFace
StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
Vision-Language-Action (VLA) models have demonstrated effectiveness in robot manipulation, yet state-of-the-art model...
HuggingFace
MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization
Multi-arm collaboration is becoming a core capability in embodied manipulation. Recent vision-language-action (VLA) m...
HuggingFace
WarpSAC: Towards the Pinnacle of Scalable Off-policy RL by Rethinking Exploration and Exploitation
Massively parallel simulation changes the data regime in which off-policy reinforcement learning (RL) is trained, cha...
HuggingFace
Gated Recurrent Transformers: Expressive Depth through Recurrent Modulation in Transformers
Scaling transformer language models creates an inherent tension between expressivity and memory efficiency. While uni...
HuggingFace
VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction
Conversational systems, such as duplex speech language models (SLMs), still lack a streaming, accurate, and empatheti...
HuggingFace
Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models
Streaming autoregressive diffusion models enable real-time, long-horizon video generation, but their training objecti...
HuggingFace
Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation
Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution ...
HuggingFace
FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling
Reliable reward models are essential for text-to-video evaluation and alignment. However, the trade-off between evalu...
HuggingFace
Video-IFBench: Evaluating Instruction Following of Multimodal LLMs in Video Understanding Scenarios
Multimodal Large Language Models (MLLMs) have shown strong performance in video understanding. However, their ability...
HuggingFace
Long-Horizon Audio-Visual Generation for Persistent Stories and Interactive Worlds
Video generation is progressing beyond isolated clips toward long-form narratives and interactive worlds, requiring m...
HuggingFace
The Handoff Tax: Continuing Non-Native Trajectories in LLM Agents
Coding agents perform long-running tasks spanning dozens of model calls, tool uses, and code edits. As these runs unf...
HuggingFace
Is Next-Chunk Reasoning RL Really Better than SFT? Revisiting Training Strategies under no-CoT Data
Recent work proposes next-chunk reasoning RL for leveraging no-CoT data---corpora such as worked solutions and textbo...
HuggingFace
Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction
Turn-taking is a basic organizational feature of human conversation and remains difficult to model in natural, synchr...
HuggingFace
RetrievalRouter: Joint Modality and Architecture Selection for Document Retrieval
Document retrieval increasingly supports high-stakes information access in finance, healthcare, and law. Modern retri...
HuggingFace
A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to su...
HuggingFace
SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and la...
HuggingFace
DREAM Technical Report
Industrial recommender systems commonly use cascaded retrieval, ranking, and re-ranking pipelines. Although efficient...
HuggingFace
MoTE: Mixture of Task Experts for Multi-Task Video Understanding
Procedural video-language models must solve heterogeneous tasks from the same visual evidence, including action recog...
HuggingFace
GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture
Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating str...
HuggingFace
Automata from Agent Traces: Failure and Next-Step Prediction
LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces re...
HuggingFace
AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspace
Concurrent multi-agent coding promises division of labor across modules, robustness through redundancy, and parallel ...
HuggingFace
SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation
Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from websites, files,...
HuggingFace
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents f...
HuggingFace
When "Must" Becomes "Maybe": Constraint Weakening in LLM Agent Workflows
Large language model (LLM) agents coordinate complex tasks through multi-role and multi-stage workflows. Upstream sta...
HuggingFace
MARS: Multi-Specialist LLM Relay System for Competitive Programming
Large Language Models excel at code generation, yet competitive programming exposes a persistent failure mode: existi...
arXiv
Score-Based Ideal Observer Approximation via Denoising Score Matching for Signal-Known-Exactly Detection Tasks
The Bayesian Ideal Observer (IO) establishes the theoretical upper bound on task performance for binary detection tas...
arXiv
Ensemble of Convolutional Neural Networks for StrokePrediction: Towards Improved Diagnostic Accuracy
Brain stroke, known for its high mortality and incidence rates, poses significant health risks and requires rapid int...
arXiv
StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing
LLM-based agents can interact with external environments through tool invocation, but this capability also introduces...
arXiv
Right Diagnoses, Decorative Reasoning:A Perturbation Audit of Medical Chain-of-Thought
Clinicians read chain-of-thought (CoT) rationales as evidence of medical reasoning, but whether the visible chain pla...
arXiv
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
Outcome-supervised search agents learn when and how to retrieve evidence, but terminal rewards neither localize inter...
arXiv
StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments
We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fix...
arXiv
Automatic Model Card Generation Using an LLM
Model cards are structured documents that summarize key information about machine learning models to improve transpar...
arXiv
Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core
Recent work has applied Mamba style state space models (SSMs) to video anomaly detection, yet existing approaches sti...
arXiv
Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA
Large language models are increasingly used for knowledge graph question answering (KGQA), but can fail to correctly ...
arXiv
A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments
The rapid expansion of large-scale assessments and the growing adoption of automatic item generation have intensified...
arXiv
Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows
Large language models (LLMs) are increasingly deployed as AI analysts to process financial disclosures and support AI...
arXiv
LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific...
arXiv
FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphs
Real-world data for knowledge graph question answering is often distributed across different organizations due to gov...
arXiv
SPO++: Stream-Aligned Policy Optimization for Asynchronous Agentic RL
Group-relative reinforcement learning waits for sibling rollouts of the same prompt, which is costly for long and var...
arXiv
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state a...
HuggingFace
LongRCA Bench: Diagnosing Responsible Roles and Root Causes in Long-Horizon Agent Failures
When a long-horizon agent execution fails, outcome-level evaluation reveals the unsuccessful result but not where the...
HuggingFace
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
Outcome-supervised search agents learn when and how to retrieve evidence, but terminal rewards neither localize inter...
HuggingFace
Meta^n: Recursive Self-Improvement through Emergent Depth
Self-improving LLM agents refine answers, not the process that produces those answers. Systems that add a meta-level ...
HuggingFace
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state a...
HuggingFace
On-Policy Self-Distillation in Diffusion Models
Reinforcement learning can align diffusion models with human preferences and task-specific objectives, but endpoint r...
HuggingFace
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interaction...
HuggingFace
On-policy Distillation with Verifiable Reward
Reinforcement Learning with Verifiable Rewards (RLVR) and on-policy distillation (OPD) have become two widely adopted...
HuggingFace
Best Practice Critic Optimization
Group-based reinforcement learning methods such as GRPO for large language models avoid training a critic by sampling...
HuggingFace
Length-Adaptive Decoding for Masked Diffusion Machine Translation
Machine translation tests masked diffusion language models (dLLMs) because every source token must be rendered faithf...
HuggingFace
TorchMorph: CUDA-accelerated Morphological Transforms
Morphological transforms are long-standing tools for shape and mask processing, but the de facto reference implementa...
HuggingFace
WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report
Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to...
HuggingFace
LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific...
HuggingFace
From Seeing to Acting: Smart Glasses as First-Person Intelligence Platforms
Smart glasses are evolving from capture and display accessories into first-person intelligence platforms that connect...
HuggingFace
Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs
Multimodal large language models (MLLMs) have become a prevailing paradigm for unified video perception. However, pos...
HuggingFace
Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training
Video games provide a scalable source of training data for video world models, offering diverse environments, complex...
HuggingFace
CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild
As large language models (LLMs) continue to advance in coding capabilities, their potential in cybersecurity has draw...
HuggingFace
Latent Action as Intention Enables Efficient Future Imagination for World Action Models
World action models (WAMs) improve robot control by modeling how observations evolve, but generating future observati...
HuggingFace
Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection
Face presentation attack detection (PAD) is traditionally formulated as a face-specific problem, although many of the...
HuggingFace
EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment
Deep face recognition (FR) models reach near-saturated accuracy but remain opaque: a practitioner cannot ask which se...
HuggingFace
Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs
Serving large language models cheaply increasingly means shipping models that are both structurally compressed to a f...
HuggingFace
AutoResearch: Insight In, Hallucination Out
Autonomous research systems are increasingly capable of executing long research workflows, yet automation alone does ...
HuggingFace
LongWoF-Bench: Evaluating EvoMap Genes for Verifiable Long-Workflow Tasks
Large language models are increasingly expected to execute complex workflows whose success depends on maintaining int...
HuggingFace
The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search
As Retrieval-Augmented Generation (RAG) shifts toward diverse portfolio generation, it is stymied by two critical bot...
HuggingFace
ClawProBench: Trace-Aware Evaluation of AI Agents with Runtime Coverage and Frozen Workplace-Style Holdouts
Agent benchmarks often evaluate only final answers even when agents run on stateful runtimes. We argue this under-spe...
HuggingFace
What AstroPT knows about galaxies, and what that can teach us about LLMs
Interpretability research increasingly asks when concepts emerge during training and whether linear probes recover re...
HuggingFace
The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models
We formalize prefix invariance: representations at position t must not depend on future inputs. We give a lightweight...
arXiv
Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty
Reasoning-Induced Misalignment, where fine-tuning on reasoning data containing no harmful content, including mathemat...
arXiv
When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World
Historical people may appear under different languages, scripts, and transcription traditions, while distinct individ...
arXiv
The Measurement Revolution? Credible Measurement and Inference in the Age of AI
Artificial intelligence (AI) is transforming measurement in economics. AI models convert unstructured data, such as t...
arXiv
EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards
Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing...
arXiv
Correcting a learned physical invariant improves world-model rollouts
World models can predict video without learning dynamics that they reliably preserve. We test whether a frozen Dreame...
arXiv
Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition
The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retr...
arXiv
The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams
Does multi-agent LLM interaction help or hurt? Some work reports gains from debate (Du et al., 2024), critique loops ...
arXiv
How AI Assistance Affects Human Skill Development: A Study of Learning with Logic Puzzles
While AI assistance can improve human task performance in the short term, it may also undermine the development of sk...
arXiv
ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Recent advances in continuous diffusion and flow-based language models (LMs) have achieved performance competitive wi...
arXiv
Prime Agent: A Self-Improving RLM Harness
Language models are sequential processors, but long-horizon agency requires external information and computation beyo...
arXiv
Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
Ballistocardiography (BCG) is promising for unobtrusive long-term blood pressure (BP) monitoring in laboratory settin...
arXiv
EG-ARSA: An Expert-Grounded Open Model for Visual Road Safety Auditing in Low-Resource Settings
Road traffic injuries remain a major challenge in low- and middle-income countries, where proactive road safety audit...
arXiv
SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and la...
arXiv
ReWorld: An Interactive World Model with Long-Horizon Memory
An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time....
arXiv
How to Train a Critic Stably and Efficiently
Group-based reinforcement learning methods such as GRPO for large language models avoid training a critic by sampling...
HuggingFace
Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress
On-policy distillation (OPD) has emerged as an effective framework for post-training language models by pairing stude...
HuggingFace
Prime Agent: A Self-Improving RLM Harness
Language models are sequential processors, but long-horizon agency requires external information and computation beyo...
HuggingFace
ReWorld: An Interactive World Model with Long-Horizon Memory
An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time....
HuggingFace
Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision
Existing image editing frameworks predominantly follow the training paradigm of text-to-image diffusion models. Howev...
HuggingFace
GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requ...
HuggingFace
ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction
Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarificatio...
HuggingFace
Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection
We present a novel approach to efficient LLM harness optimization through adaptive validation task selection. Harness...
HuggingFace
Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errors
Speech-based applications pass spoken queries through automatic speech recognition (ASR) before any retrieval module,...
HuggingFace
MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks
As on-device LLM agents evolve into personal copilots, the mobile operating system has become a key testbed for this ...
HuggingFace
Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion
While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains cha...
HuggingFace
One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders
Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This cre...
HuggingFace
One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation...
HuggingFace
EchoWM: Open and Enterable Omnimodal World Models
We present EchoWM, an omnimodal world model for enterable generative media that responds to continuous navigation whi...
HuggingFace
Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization
Policy optimization (PO) for Large Language Models faces a stability--exploration trade-off, currently mediated by an...
HuggingFace
RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modeling
Full-length RNAs, particularly messenger RNAs, often exceed the context lengths used to pretrain existing RNA foundat...
HuggingFace
From Generation to Simulation: How Far Are World Models from Being True Simulators?
With the rapid progress of diffusion models and large-scale video generation, generative world models are increasingl...
HuggingFace
Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reports
Industrial technical reports contain high-value knowledge for maintenance, troubleshooting, and product engineering, ...
HuggingFace
Towards a Densing Law for User Representation Learning at Billion-Scale Capacity
User representation learning in real-world industrial scenarios is commonly scaled by increasing user amount, behavio...
HuggingFace
Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning
Electrocardiogram (ECG) recordings are sensitive biomedical data, limiting the ability of hospitals and wearable devi...
HuggingFace
WorldToken: Time-First Sequence Modeling for Robotic Imitation Learning
Robot policies receive heterogeneous observations at each decision step, yet sequence models differ in how they organ...
HuggingFace
Human-Centric Intelligence in the Era of Foundation Models: A Survey
Human-centric intelligence is evolving in the foundation-model era, with growing emphasis on scale, transferability, ...
HuggingFace
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth
Open-ended language-model benchmarks usually inherit a judge: a human preference panel, another model, or a brittle e...
HuggingFace
ParaTempo: Efficient Parallel Reasoning via Temporal Confidence
Parallel reasoning improves the accuracy and robustness of large reasoning models by exploring multiple solution path...
HuggingFace
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models
Training-free block-sparse attention can accelerate video transformers, but row-wise attention concentration does not...
HuggingFace
Hydra-0: Action Flow for Generalist World Modeling and Control
We introduce Hydra-0, a generalist world model conditioned on action flow, which represents robot actions as pixel mo...
HuggingFace
Peer-Voted LLM-Agent Stress Tests Find Feed-Induced Lexical Convergence but No Reliable Matched-Exposure Advantage for Distributed Sources
Population-level behavior in large-language-model (LLM) agents cannot be characterized by single-agent benchmarks. We...
HuggingFace
PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration
We present PhysCaP, a Physics-Informed Code-as-Policy agent for active perception in robotic manipulation. While visi...
HuggingFace
WorldMind: Decoupled Game World Model for State-Aware NPC Behavior
Game world models have recently demonstrated promising capabilities in generating visually coherent and action-contro...
arXiv
Ontology-supported AI Model and Dataset Management
Recently, there has been a great deal of research into improving AI methods and their application. The main focus is ...
arXiv
Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
Persistent memory makes false information durable: once a false statement is stored, it can be retrieved into future ...
arXiv
Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is one of the most extensively studied NP-hard optimization problems. Genetic Al...
arXiv
Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation
Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equa...
arXiv
EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question Answering
Question answering (QA) over long, connected documents remains challenging because relevant evidence may span multipl...
arXiv
CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment
Improving the safety of large language models (LLMs) often comes at the expense of utility, as globally applied safet...
arXiv
AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization
Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support...
arXiv
Re$^3$Cap: Retrieval-Guided Refinement for Image Captioning Enhancement via Reinforcement Learning
Reinforcement Learning (RL) has demonstrated significant gains in image captioning, yet it is still limited in encour...
arXiv
From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry
The European Union (EU) has emerged as a leading regulatory body in the development of sustainability and privacy reg...
arXiv
Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
We formalize the Steiner Traveling Salesman Problem (Steiner-TSP) on Graphs of Convex Sets (GCS), which seeks a minim...
arXiv
Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation
Deep-learning models of anatomy can be numerically plausible yet anatomically impossible, and they generalize poorly ...
arXiv
TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
Contextualization is essential for production automatic speech recognition (ASR) systems, where user-provided phrases...
arXiv
AI with Authority, from Application to Silicon
For sixty years, machine verification has been a major cost overhead, affordable only for exceptional artifacts. Here...
arXiv
VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences
In professional life sciences workflows, scientists routinely interpret visual artifacts (gel blots, microscopy image...
arXiv
Primal Acceleration of Newton's Method
We develop a new direct accelerated Newton method for minimizing convex functions with Lipschitz continuous Hessian. ...
HuggingFace
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Deploying vision-language models (VLMs) on mobile devices is challenging due to their significant memory and compute ...
HuggingFace
Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs
Hybrid-thinking multimodal large language models (MLLMs) allow a single model to alternate between deliberative think...
HuggingFace
InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adapter
With large pretrained models, existing methods have effectively improved instruction-based video editing. However, mo...
HuggingFace
CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment
Improving the safety of large language models (LLMs) often comes at the expense of utility, as globally applied safet...
HuggingFace
Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolutio...
HuggingFace
Towards Faithful Simulation of Human Shopping Behavior
Simulating realistic user shopping behavior underpins offline evaluation and reinforcement learning in e-commerce sce...
HuggingFace
Hadith computational science in the age of large language models: a critical narrative review
We examine how hadith computational science is being reshaped by transformer models, retrieval-grounded pipelines, an...
HuggingFace
AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale
Agents learn to act through interaction with environments, yet the environments used for training are often manually ...
HuggingFace
OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs
Recent omni-modal large language models (Omni-LLMs) show great potential as real-time video assistants, which continu...
HuggingFace
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Mixture-of-Experts (MoE) architectures significantly expand model capacity without a proportional increase in computa...
HuggingFace
Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Models
On-policy distillation (OPD) transfers teacher capabilities by supervising trajectories sampled from the student's ow...
HuggingFace
EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking
Real-world image search queries are multimodal and compositional: ``find this shirt in pink'' specifies an entity to ...
HuggingFace
Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference
Small language models are usually built like large ones and then squeezed onto a CPU afterwards. We did the opposite:...
HuggingFace
UniSpace: Unified Visual Representation and Scalable Multimodal Modeling
Semantic vision encoders have become a central visual interface for multimodal understanding and semantic conditionin...
HuggingFace
Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See
Take three frontier mixture-of-experts models (Alibaba, OpenAI, NVIDIA; 3.6-4.0B active parameters each) and fine-tun...
HuggingFace
CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
Current dexterous grasp planners primarily optimize for physical stability, focusing on whether an object can be gras...
HuggingFace
GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation
Multifingered grasping is a crucial robotic skill, but current deep-learning grasp planners often struggle to general...
HuggingFace
Hierarchical Self-Improvement: A Framework for Task-Specific Evolvable Agent Harnesses
Modern LLM agents are often improved by modifying prompts, tools, or workflows manually, while the executable scaffol...
HuggingFace
QuoteBench: How Matched Scores Can Hide Command-Path Failures
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched ...
HuggingFace
τ_0-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation
Long-horizon robot manipulation requires a robot to both execute individual skills reliably and sequence them coheren...
HuggingFace
The Embedder's Dilemma: LLMs Are Better, but at What Cost?
Should you replace your text-embedding pipeline with a large language model? We answer this with a controlled, cost-a...
HuggingFace
TinyCast: Probabilistic Zero-Shot Forecasting with Computed Periodicity
We introduce TinyCast, an attention-free zero-shot forecaster that emits a predictive distribution from 146,505 param...
HuggingFace
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
Large language model agents can adapt to complex tasks by constructing workflows at inference time, but procedures di...
arXiv
Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
Anatomically plausible segmentation remains challenging because of low contrast, ambiguous boundaries, and modality-s...
arXiv
Growth Without Us: Machine Consumers, Corporate Circularity, and the Decoupling of GDP from Humanity after AGI
The standard objection to full automation is demand-side: if humans earn nothing, who buys the output? This confuses ...
arXiv
Rule-Compliant Visual Spatial Planning for Multimodal Large Language Models
Multimodal large language models (MLLMs) combine linguistic reasoning with visual perception, yet their ability to pe...
arXiv
QUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication
X-band SAR satellites (8-12 GHz) play a critical role in disaster response, environmental monitoring, and military in...
arXiv
Learning When to Think: Adaptive Reasoning for Test-Time Compute Allocation
Reasoning language models trained with reinforcement learning typically operate under a fixed token budget rather tha...
arXiv
Catching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine Learning
The rapid proliferation of memecoins on blockchain platforms has increased the risk of fraudulent activities, particu...
arXiv
Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents
Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable wi...
arXiv
Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization
Large language models often fail to answer questions about a bounded document collection when the source documents ar...
arXiv
Phantom Gains: Auditing Self-Improvement Against a Measured Null
Whether a language model has improved itself is increasingly judged not by mean accuracy but by which individual prob...
arXiv
MidTool: Mid-training Data Synthesis for Agentic Tool Use
Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Re...
arXiv
Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
Heterogeneous AI systems composed of multiple models, architectures, harnesses, or inference-time settings can improv...
arXiv
AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement
Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that ...
arXiv
Inducing Task Models from Computer-Use Traces
Naturalistic computer-use traces, passively recorded screenshots and mouse or keyboard actions, are a valuable resour...
arXiv
An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction
Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are...
arXiv
G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation
Personalized interpretation of medical reports has emerged as an increasingly important need among patients. Addressi...
HuggingFace
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures ari...
HuggingFace
EXIMO: VLM Guided Exploration of VLA Policies
How to efficiently finetune robot policies to learn new tasks on the fly? State of the art robotic manipulation polic...
HuggingFace
EnvHarness: Awakening Static Worlds for Agent Learning
LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind to an agen...
HuggingFace
WithEveryone: Unified Planning and Identity Grounding for Group Image Generation
Identity-preserving image generation becomes increasingly unreliable when a scene must contain many specified people....
HuggingFace
ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models
Action-conditioned video world models require low-latency causal generation and reliable responses to game-native con...
HuggingFace
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use
Memory has become a key component of large language models, enabling them to retain information and learn from long-t...
HuggingFace
4DAnyone: Create Anyone in 4D from a Casual Monocular Video
We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reco...
HuggingFace
Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization
Large language models often fail to answer questions about a bounded document collection when the source documents ar...
HuggingFace
Repo0: Design-Driven Zero-to-All Code Generation
Large language model agents have made substantial progress in code generation, yet most existing systems assume a pre...
HuggingFace
SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback
Agent Skills are today either hand-authored or produced in a single LLM generation pass, and consequently possess no ...
HuggingFace
FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
Long-context modeling is a pivotal capability for Large Language Models, yet the quadratic complexity of attention re...
HuggingFace
Chain-of-Experience for Continual LLM Improvement
Humans continuously learn from experience, whereas conventional large language model (LLM) evaluations ignore the mod...
HuggingFace
SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?
Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capab...
HuggingFace
Towards Quantifying Benchmark Optimization in ASR Models
Public benchmarks are important measures of Automatic Speech Recognition (ASR) model capabilities. However, by nature...
HuggingFace
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though existing meth...
HuggingFace
NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
Long-form video understanding encompasses tasks that go beyond retrieving isolated events, including tracking an evol...
HuggingFace
Bounded Agents: Delegation Security for Multi-Agent AI Systems
LLM-based agents can act on behalf of a user to access cloud services, call tools, or invoke agents. At session start...
HuggingFace
LLMs Get Smarter from Targeted Synthetic Multilingual Data
Language-specific competency (LSC) is the phenomenon of a language model performing better or worse depending on the ...
HuggingFace
SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection
Object detectors often produce over-confident predictions for objects outside their training categories, leading to s...
HuggingFace
Towards Real-Time and Adaptable LiDAR Scene Completion
LiDAR scene completion is a key component of 3D perception in autonomous driving, where the scene must be completed i...
HuggingFace
Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems
Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game develo...
HuggingFace
VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation
Using reinforcement learning to post-train joint video-audio generation models requires a reward signal. Existing met...
arXiv
DA-WAM: Decision-Aligned Future Latents for Driving World Models
Anticipating how scenes evolve under ego actions is fundamental to safe autonomous driving, yet the full potential of...
arXiv
Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift
Object detection models deployed in safety-critical applications remain vulnerable to backdoor attacks that cause tar...
arXiv
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Multi-teacher on-policy distillation (M-OPD) has emerged as a promising paradigm for consolidating domain-specialized...
arXiv
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Time series imputation is a crucial area for reliable time series analysis, yet it remains challenging due to the com...
arXiv
PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints
Improving molecular properties, such as drug-likeness or binding affinity, is a recurring task in early-stage drug di...
arXiv
Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering
When an expert corrects an LLM assistant's error, the correction usually dies with the session, and the error class r...
arXiv
Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
A gradient-boosted ensemble predicts by summing one leaf value per tree. Read those values as coordinates rather than...
arXiv
Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems
Frontier language models are compared, marketed, and benchmarked on capability -- what their best or average output c...
arXiv
Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable ...
arXiv
Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication
Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, crea...
arXiv
Interpretable AI predicts a 2026 summer dry anomaly in central China
Seasonal precipitation anomalies are largely regulated by atmospheric circulation, which dynamical models predict wit...
arXiv
Finetuning Strategies for Querying Sounds by Vocal Imitation
This technical report describes our winning submission to the AES AIMLA 2025 Challenge on querying sound effects by v...
arXiv
Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
On-policy distillation (OPD) trains a student on its own responses using dense token-level guidance from a stronger t...
arXiv
ADEPT: Accelerating Dexterity via Pre-Training and Post-Training using Reinforcement Learning
We introduce Accelerating Dexterity via Pre-Training (ADEPT), a large-scale reinforcement learning (RL) framework for...
arXiv
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language ...
HuggingFace
SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
Large language model (LLM) based agents have demonstrated remarkable proficiency in automated software issue resoluti...
HuggingFace
FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents
Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over lon...
HuggingFace
Looped Language Models Improve Compositional Tool Calling
Looped language models have shown promising results on reasoning benchmarks, yet their potential for agentic tool use...
HuggingFace
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language ...
HuggingFace
SemaPLC: A Project-Grounded, Verification-Gated Agent Harness for PLC Code Generation
Programmable logic controllers (PLCs) run industrial plants, and large language models can already generate independe...
HuggingFace
Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
Single-step retrosynthesis is a central component of computer-aided synthesis planning, yet its intrinsically one-to-...
HuggingFace
Training Leaves Traces: Centered Residual Signatures for Language Model Lineage Verification
Open-weight language models are fine-tuned, quantized, pruned, and merged, yet their provenance is often undocumented...
HuggingFace
SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation
We introduce Semantic Task Completion Video Generation, an outcome-oriented video generation task. Under this formula...
HuggingFace
SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation
Physical interaction quality is central to deformable-object manipulation, yet most benchmarks evaluate task success ...
HuggingFace
Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning
JEPA-style latent world models can use Euclidean distance to a goal latent as the cost for model-predictive control (...
HuggingFace
Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence
Embodied agents are increasingly used to close the gap left by end-to-end policy models. Yet the agentic path has not...
HuggingFace
OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows,...
HuggingFace
Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion
High-quality creative writing data for large language models (LLMs) remains dominated by story-centric data, limiting...
HuggingFace
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and vision-languag...
HuggingFace
Temporal Multi-Signal Fusion for Token-Level Hallucination Detection
Token-level hallucination detectors score each token independently from a single signal, and fail exactly when the ge...
HuggingFace
The More Popular, The Harder to Forget: Adaptive Popularity for LLM Unlearning
Popular facts are memorised more deeply during pretraining and resist removal longer than rare ones, yet existing LLM...
HuggingFace
SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents
Agent frameworks increasingly package procedural knowledge as skills: instruction files an agent reads on demand, whi...
HuggingFace
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Electrocardiography (ECG), photoplethysmography (PPG), and phonocardiography (PCG) provide complementary views of the...
HuggingFace
PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX
We introduce PTXBench, a benchmark for evaluating and adapting large language models (LLMs) to use architecture-speci...
HuggingFace
LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents
Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integrati...
HuggingFace
The Problem Is the Problem: Towards Scalable Mathematical Discovery
AI systems are increasingly capable of contributing to mathematical research. In research practice, frontier-model re...
HuggingFace
FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis
Training terminal agents requires scalable executable supervision, yet synthesizing high-quality terminal tasks remai...
arXiv
An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models
In the Code World Model paradigm an LLM synthesizes an executable world model that a classical planner searches, and ...
arXiv
Towards Zero-Shot Task Transfer with Neurosymbolic World Models
State-of-the-art model-based reinforcement learning methods learn neural world models that allow policy improvement b...
arXiv
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
Online log anomaly detection is critical for maintaining the reliability of large-scale computing systems. Although r...
arXiv
Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity
Ultrasound tongue contour segmentation remains challenging under cross-dataset domain shift, where limited annotation...
arXiv
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand indi...
arXiv
Traceable Trust for action-ready artificial intelligence in bioscience
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict...
arXiv
Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of L...
arXiv
Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, c...
arXiv
Why GPT-Style Models Do Not Directly Transfer to Symbolic Music: Compression in the Wrong Coordinate System
GPT-style models achieve strong performance by representing language with finite vocabularies of reusable discrete to...
arXiv
Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel deve...
arXiv
StagedWorkspace: A Versioned Workspace for Knowledge-Work Agents
AI agents increasingly perform knowledge work (i.e., produce and modify persistent digital artifacts such as code rep...
arXiv
HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance
Urban traffic congestion reduces productivity and increases travel cost and emissions. Network-wide live travel-time ...
arXiv
Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet thei...
arXiv
On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintain...
arXiv
From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet c...
HuggingFace
Security Assessment of DeepSeek Harness with A.I.G: Evaluating Resistance to Indirect Prompt Injection
We assess indirect prompt injection in DeepSeek Harness (DSH), using AI-Infra-Guard (A.I.G) to construct tests, deliv...
HuggingFace
GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation
Many scalable latent 3D generators operate on structured tensors, whereas pre-optimized 3D Gaussian Splatting (3DGS) ...
HuggingFace
From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet c...
HuggingFace
Energy-Guided Flow Matching
Pixel-space generative models bypass lossy latent compression, yet necessitate joint learning of global structure and...
HuggingFace
Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
Memory is becoming core infrastructure for long-horizon LLM agents, yet existing evaluations offer limited guidance o...
HuggingFace
Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation
Although Large Vision-Language Models (VLMs) have significantly advanced embodied navigation, their direct deployment...
HuggingFace
FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution
Frontier open-weight models are increasingly available, but serving them still largely assumes datacenter infrastruct...
HuggingFace
Personalized Auto-Research: Towards a True AI Co-Scientist
AI co-scientists that generate hypotheses, retrieve related work, design experiments, execute code, and draft full pa...
HuggingFace
Unifying Graph Neural Networks Through a Common Layer Equation
Graph neural networks are commonly described through family-specific equations whose notation obscures shared computa...
HuggingFace
HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety
Large language models are increasingly deployed through agent harnesses that manage tools, extensions, persistent sta...
HuggingFace
Agent Lightning v1.0: Towards Harnessed Agentic RL
Modern agents operate inside agent harnesses that manage tools, context, and control flow, making the harness a criti...
HuggingFace
MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement
Autoformalization is commonly framed as translating natural-language mathematical statements into machine-verifiable ...
HuggingFace
CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing
The quality and diversity of instruction-based video editing datasets are steadily improving, yet existing datasets m...
HuggingFace
EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
High-resolution image editing is increasingly demanded in professional workflows, yet existing diffusion-based models...
HuggingFace
Cross-Model Memory Transfer via Target-Side Reader Adaptation
Methods for improving knowledge use in large language models typically fall into two regimes. Non-parametric retrieva...
HuggingFace
Demystifying Agent Skills: Why They Work-Until They Don't
Skills have emerged as a practical and effective approach for enhancing LLM agents at inference time through structur...
HuggingFace
MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding
Vision encoders are a critical component of vision-language models, and scaling their capacity effectively improves p...
HuggingFace
PixRestore: Unified Image Restoration via Pixel Diffusion Transformer
Unified image restoration (UIR) aims to recover high-quality (HQ) content from low-quality (LQ) images with different...
HuggingFace
DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization
As text-to-image generative models advance, they raise critical safety concerns, particularly the generation of Not-S...
HuggingFace
V-RAE: Rethinking Video Latent Spaces for Generation
Latent video generation relies on autoencoders to define a compact space in which generative models operate. Although...
HuggingFace
Advancing Open and Reproducible Relational Learning: RelArena-α, TabPFN-Rel and RPI
This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-sourc...
HuggingFace
Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations ask whet...
HuggingFace
Valid Per-Field Selective Risk Control for Document Extraction: Three Failure Modes, a Validity Ladder, and When Conditioning Pays
Per-field accept/review with selective risk at most alpha -- accept a field only if the error rate among accepted fie...
HuggingFace
StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding
Streaming video understanding demands direct responses from the causally observed prefix of an unfolding video. Exist...
HuggingFace
StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling
Long-horizon agents can fail even when their underlying models can solve the constituent steps. They may lose track o...
HuggingFace
Beyond Visual CoT: Internalized Visual Thinking for Proactive Video Reasoning
Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, tempo...
HuggingFace
Accuracy and Order Sensitivity Diverge Under Label-Free Strategies
Multiple-choice benchmarks are widely used to evaluate large language models, but MCQ scores conflate knowledge with ...
HuggingFace
HarmProfile: Characterizing Harmful Distributions in Frontier LLMs
Frontier large language models (LLMs) safety evaluation has largely treated harmful generation as an attack outcome r...
arXiv
When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
We study how teams of AI coding agents coordinate while solving programming tasks. Current evaluations usually report...
arXiv
Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment
Sign language serves as a vital means of communication for individuals with hearing impairments, yet recognition reso...
arXiv
Diagnosing Dense Same-Class Attribute Misbinding in Large Vision-Language Models
Large vision-language models can recognize the objects and attributes in a crowded scene yet assign an attribute to t...
arXiv
When State Becomes an Attack Surface: State-Semantic Injection in LLM-Driven Embodied Agents
Large Language Models (LLMs) have demonstrated capabilities in in-context learning, task decomposition, step-by-step ...
arXiv
Quipu: A Governed Bitemporal Knowledge Graph Store
Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: acce...
arXiv
CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated?
Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but exis...
arXiv
Policy Iteration with Human Feedback: Bringing Post-Training RL to In-context Learning
Generative pretraining established reusable task representations; later work on language-based task conditioning and ...
arXiv
Model Hypnosis: Strong control of AI via additive subliminal effects
We demonstrate that AI models are broadly susceptible to a phenomenon we call model hypnosis, in which individually w...
arXiv
HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL
Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-la...
arXiv
Proteus: Incremental Memory Activation for Long-Context Sequence Modeling
The quadratic cost of attention-based sequence models for long contexts has motivated a growing line of research on m...
arXiv
What Do Compliance Detectors Read? An Audit of Activation Probes and Guard Models
Regulatory compliance monitoring in deployed language models is increasingly implemented as a legal and audit control...
arXiv
Towards Computational Provenance: Carrying Causal-State Evidence in Generated Text
A language model's output does not by itself provide verifiable evidence about the internal computation that produced...
arXiv
AutoSR: Automatic Symbolic Regression by Searching Research States
We introduce Automatic Symbolic Regression (AutoSR), a fully automated system that instantiates Research-Space Symbol...
arXiv
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement of the laser meth...
arXiv
Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VL...
HuggingFace
VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding
Video understanding is a fundamental task for evaluating the capabilities of multimodal large language models (MLLMs)...
HuggingFace
PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments
Self-evolving agents improve future behavior from interaction experience, yet existing evaluations typically optimize...
HuggingFace
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
The current best bounds on the matrix multiplication exponent ω are obtained through a refinement of the laser method...
HuggingFace
An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models
This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Althoug...
HuggingFace
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justi...
HuggingFace
Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form
Language models hold latent quantities in a form they can report on, and more of a quantity is present in that form w...
HuggingFace
Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency
Automated checking pipelines increasingly place one language model as the checker and another (or the same one) as th...
HuggingFace
AnyTalk: Speech Animation for Arbitrary Characters Leveraging a Video Generation Model
We present AnyTalk, a novel method for generating 3D speech animations for arbitrary characters without requiring any...
HuggingFace
Drive, Pack, Fly: The Travelling Thief Problem with Drone
In collection operations, accumulating payload progressively slows the vehicle, imposing a cumulative penalty on rout...
HuggingFace
HiFi-BRep: High-Fidelity Latent Representation for Robust B-Rep Generation
Boundary representation (B-Rep) generation is a fundamental task in computer-aided design, yet the direct synthesis o...
HuggingFace
DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on $60 GPUs
As AI datacenters retire functional GPUs, vast quantities of still capable accelerators enter secondary markets. This...
HuggingFace
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization
Reinforcement learning (RL) with group-relative advantages has become the de facto standard for post-training languag...
HuggingFace
Prototype-Rectified Iterative Self-supervised Manifold Denoising under Severe Acoustic Shift
Audio-Text Foundation Models (ATMs) fail catastrophically under severe acoustic noise, yet existing adaptation strate...
HuggingFace
WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations
Learning to generate or reconstruct explorable worlds requires video paired with more than RGB: camera motion, scene ...
HuggingFace
TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation
Despite recent advances in unified multimodal models for multi-reference image generation, existing benchmarks remain...
HuggingFace
Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search
Scientific discovery often involves optimising expensive-to-evaluate objectives over vast, structured, and open-ended...
HuggingFace
How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks
AI has long assisted scientific research, but the rapid advance of LLMs and agentic scaffolds is reshaping the landsc...
HuggingFace
A Plug-and-Play 2D Motion Interface for Real-World Motion Language Models
Motion Language Models (MoLMs) typically understand human motions by tokenizing 3D motion and processing the resultin...
HuggingFace
MOSS-VL Technical Report
We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it spe...
HuggingFace
GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networks
Instruction-based general video editing seeks to unify diverse editing operations within a single, intuitive interfac...
HuggingFace
Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems
Clinical decision support is moving toward committees of language-model agents deliberating on a shared workspace. We...
HuggingFace
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data
Current large language model development relies on massive, often non-permissible datasets, creating a high barrier f...
HuggingFace
Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings
Parliamentary proceedings are a primary record of democratic deliberation, yet their volume and fragmentation make mu...
HuggingFace
Apodex Discovery: Reality Benchmarks and Environments for Evaluating and Building Discoverative Artificial Intelligence
Apollo did not reach the Moon merely because its engineers could solve difficult equations. It succeeded by turning a...
HuggingFace
Modular Cognitive Architecture Emerges in Large Language Models
The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, ...
HuggingFace
Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models
Which reasoning behaviors are associated with correct answers in reasoning models, and does reasoning-oriented traini...
HuggingFace
Nanbeige4.2-3B on Apple Silicon: Fixing Deployment Bugs and Decreasing Looped Transformer Memory Overhead
Nanbeige4.2-3B is a 3B-parameter agentic model built around a Looped Transformer (LT) that reuses one stack of layers...
HuggingFace
Is this Citation on Point?
In 2023, a New York judge sanctioned two attorneys in Mata v. Avianca for filing a brief with hallucinated citations ...
arXiv
SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning
Spreadsheets are widely used to organize, analyze, and manipulate semi-structured data, yet automated spreadsheet rea...
arXiv
Shift Aware Transfer Learning with Adaptive Dual-Encoder Fusion for PM Forecasting in Data-Limited Environments
Short-horizon forecasting of fine particulate matter (PM2.5) remains difficult when observations from the target doma...
arXiv
LP-NAS: Linear Programming-based Neural Architecture Search
Neural Architecture Search (NAS) aims to automate neural network architecture design, reducing reliance on human expe...
arXiv
Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes
As heterogeneous robotic systems deploy across diverse urban zones, maintaining safety amid complex human-robot inter...
arXiv
Twin: Playing an Unknown Game with a Test-Time Digital Twin
We present a Test-time World-model Inference (Twin) system, in which a frontier coding agent writes an executable wor...
arXiv
Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows
Network-level maintenance planning requires repeated evaluations of equilibrium traffic flows under road capacity red...
arXiv
Generating Benchmark Health Data Using a Tabular Diffusion Transformer
Cross-Tabular Data Generation (CTDG) seeks to learn a generative model from multiple heterogeneous tables and produce...
arXiv
Universal Thermodynamic Interatomic Potentials for Crystalline Materials
Free energies govern solid-state phase stability, yet computational materials discovery still relies largely on groun...
arXiv
RecipeNet: A Hierarchical Transformer for Recipe Data
Recipe data arises in domains such as materials synthesis, pharmaceutical formulation, and industrial manufacturing, ...
arXiv
Split the Labor: Separating Evidence Interpretation from Decision Aggregation
Systems that ask a language model to reach a conclusion from many sources usually concatenate them into one prompt. T...
arXiv
Learning-to-Transition for Large-scale and High-Order MIMO Detection
High-order multiple-input multiple-output (MIMO) detection requires efficient search over a large discrete symbol spa...
arXiv
Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers
As AI systems make more morally loaded decisions across society, one response has been moral preference elicitation. ...
arXiv
Handover of In-Context Learning State Across Session Boundaries
This study investigates the methodological and theoretical properties of session handover in applications that use la...
arXiv
Marionette: Predicting World States, Rendering Geometry, Painting Appearance
Interactive game world models typically autoregress visual observations directly in pixel or latent space, forcing st...
arXiv
Decoding the Past: An Uncertainty-Aware Deep Learning Framework for Sex Attribution in Prehistoric Hand Stencils
Determining the biological sex of the individuals who created Upper Paleolithic hand stencils remains a challenging p...
HuggingFace
SPARGen: Unifying Spatial Perception and Reasoning through Native Multimodal Generation
Spatial perception and reasoning from visual observations require recovering geometric structure, establishing corres...
HuggingFace
Claim-Level Reliability Assessment for Efficient Test-Time Reasoning
We propose claim-level falsification as a principle for test-time scaling and instantiate it through Claim-Level Reli...
HuggingFace
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination
Recent video generators can fabricate realistic depictions of wars, disasters, public emergencies, and other real-wor...
HuggingFace
HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark
Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with wh...
HuggingFace
Scaling Domain Data Repetition in LLM Pretraining
As large language models scale, their training-token budgets must also increase to maintain an appropriate tokens-per...
HuggingFace
Verifier-Induced Support Reshaping in On-Policy Optimization
We show that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while ...
HuggingFace
Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction
While Multimodal Large Language Models (MLLMs) have achieved remarkable progress, visual understanding and generation...
HuggingFace
CPI-Bench: A Comprehensive,Practical and Intelligent Benchmark for Real-World Image Editing
With the rapid advancement of image editing models and their widespread application across various domains, there is ...
HuggingFace
Multimodal Model Diffing for Feature Discovery and Control
Multimodal Large Language Models (MLLMs) exhibit strong visual understanding, yet the internal features that cause th...
HuggingFace
MobileMem: Learning from a Year of Mobile Experiences
The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persiste...
HuggingFace
PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment
Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule...
HuggingFace
Latent On-Policy Self-Distillation
Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-ev...
HuggingFace
Second Thought: Reasoning in Parallel as LLM Agents Act and Observe
LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is conf...
HuggingFace
Forecast Collapse in Time-Series Foundation Models
When forecasting hourly returns for 1,000 US equities, we observe an unexpected phenomenon: predictions become nearly...
HuggingFace
UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
Large Vision-Language Models (LVLMs) achieve impressive visual reasoning and dialogue capabilities, yet frequently ha...
HuggingFace
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skil...
HuggingFace
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning
On-policy distillation (OPD) offers a promising way to transfer reasoning capabilities from stronger teacher models, ...
HuggingFace
Self-Supervised Visual On-Policy Distillation
Visual on-policy distillation relies heavily on an informative teacher-student asymmetry, through either a larger, st...
HuggingFace
UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers
Neural language models trained on large crowdsourced corpora frequently exploit spurious surface patterns tied to tar...
HuggingFace
A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and ...
GitHub
[GitHub] rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step（⭐102694）
HuggingFace
Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review
This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding...
HuggingFace
Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing
Large language models (LLMs) achieve remarkable performance across natural language tasks, yet they are trained on st...
HuggingFace
Mitigating Gender Bias in English to Romanian Machine Translation
Machine translation (MT) systems often fail to correctly translate gender, especially when converting from a gender-n...
HuggingFace
From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs
Large audio-language models (LALMs) have demonstrated strong capabilities in understanding diverse audio inputs. This...
HuggingFace
Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation
Interactive autoregressive video generation demands both low-latency rollouts and precise online control. Few-step di...
HuggingFace
RibAssist 3D: Biplanar Rib-Fracture Detection, Addressing, and Selective 3D Localization from CT-Derived Projections
Rib fractures are common and time-consuming to localize on computed tomography (CT). We ask whether fractures detecte...
HuggingFace
Thought-Level Beam Search for Reasoning
Test-time compute scaling is a primary driver of performance in large reasoning models (LRMs), but extreme inefficien...
HuggingFace
Maglev: Sliding Recurrent Memory
We introduce , a recurrent Transformer architecture with fixed-size memory that generalizes sliding-window attention ...
arXiv
MLLM-Routed Heterogeneous Ensembles for Robust Cross-Dataset Image Classification
Modern image classification models excel when trained on single task-specific datasets but often struggle to generali...
arXiv
Concept Drift Detection and Adaptive Retraining of Malware Classification Models
Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was use...
arXiv
AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models
Analog circuit design is a time-consuming, iterative process in a nonlinear and high-dimensional design space that re...
arXiv
MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination
We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM promp...
arXiv
Synthetic Persona Pretraining: Alignment from Token Zero
As language-model-based AI is increasingly deployed in autonomous settings, aligning its goals and values with those ...
arXiv
Toward a Gricean Retreat: Probing LLMs for Knowledge Boundaries and Referent Specificity
When asked about entities outside their knowledge boundary, LLMs routinely fabricate plausible-sounding details rathe...
arXiv
AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)
This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive ge...
arXiv
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data
Current large language model development relies on massive, often non-permissible datasets, creating a high barrier f...
arXiv
The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
We study masking diffusion for discrete sampling and introduce a path-resolved measure of data geometry called the \e...
arXiv
Vero: Can AI Agents Build Formally Verified Software Repositories?
AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated cod...
arXiv
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skil...
arXiv
QuoteBench: How Matched Scores Can Hide Command-Path Failures
LLM coding agents issue Bash commands through interfaces that may serialize, wrap, and reparse model output. Matched ...
arXiv
HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark
Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with wh...
arXiv
OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows,...
arXiv
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a ...
HuggingFace
Full-bandwidth transformer
Autoregressive transformers compute along two axes: horizontally across generated tokens, and vertically through mode...
HuggingFace
PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives
Video world models simulate future states conditioned on current observations and user actions. Recent systems have d...
HuggingFace
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Long-horizon LLM agents must preserve information from past interactions to support future tasks. Existing memory sys...
HuggingFace
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a ...
HuggingFace
Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus
We present the first systematic study of Massive activations (MAs) in layer-interleaved HLA LLMs and uncover two arch...
HuggingFace
DarwinX: Evolving Agent Harnesses Through Natural Selection
An LLM agent's capability depends not only on model weights but on its harness: prompts, tools, skills, and control f...
HuggingFace
Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence
Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To im...
HuggingFace
DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation
We present DreamX-Phi 1.0, an action-conditioned video world model for robotic manipulation that, given an observed f...
HuggingFace
LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers
No single large language model (LLM) is optimal across all queries and budget constraints, making model routing essen...
HuggingFace
H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models
Large-scale manipulation data is essential for robot learning, yet collecting robot demonstrations remains expensive ...
HuggingFace
CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers
Semi-supervised semantic segmentation has long turned on one question, which pseudo-labels to trust, and a generation...
HuggingFace
LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time
Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose s...
HuggingFace
UniSwap: Streaming Audio-Visual Identity Swapping for Talking Videos
Talking-video character replacement requires coordinated transfer of appearance and voice while preserving the source...
HuggingFace
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
Agent skills represent a standardized format for packaging procedural knowledge and domain expertise, serving within ...
HuggingFace
An AI4AI Framework for Visual Token Pruning
Visual-token pruning can substantially reduce the inference cost of multimodal large language models (MLLMs), yet exi...
HuggingFace
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning
Large language models generate computationally expensive yet semantically void reasoning on beyond-capability tasks, ...
HuggingFace
Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
Instruction-tuned language models achieve strong performance across a range of generation tasks, but have also recent...
HuggingFace
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Extreme events in air transport, such as severe arrival delays and abnormal air times, cause cascading network disrup...
HuggingFace
PixSDS: Why Latent SDS Makes Noisy Pixels
Score Distillation Sampling (SDS) enables text-to-3D generation by optimizing rendered images with a pretrained diffu...
HuggingFace
Parameter Exploration for RLVR via Variational Learning
Exploration has been a focus of reinforcement learning research for a long time. Recently, there has been growing evi...
HuggingFace
SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries
Large Language Models (LLMs) increasingly act as agents whose procedural knowledge is stored in reusable skill packag...
HuggingFace
Learning How the World Evolves: Extrapolative Video World Models via Latent Dynamics Reasoning
The world evolves following its dynamics, i.e., its laws of motion. However, leading video diffusion models largely f...
HuggingFace
Gaze Target Estimation Anywhere with Concepts
Estimating human gaze targets from images in-the-wild is an important and formidable task. Existing approaches primar...
HuggingFace
ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization
ReRound (Reconstructive Rounding) is a post-training quantization method that addresses the midpoint ambiguity inhere...
HuggingFace
From Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer Options
Large language models often fail when answer options require combining atomic judgments under explicit logical operat...
arXiv
HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression
Use this plain-text version for the arXiv abstract field: Learned image compression (LIC) models achieve strong rate-...
arXiv
VICBench: A Multi-Language Benchmark for Code Vulnerability Detection
Evaluating security vulnerability detection tools requires benchmark datasets with vulnerability-inducing commits (VI...
arXiv
An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESS
Modernizing legacy Fortran is a problem of volume: the transformations are individually routine, but the codebases ca...
arXiv
One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL
Multi-agent reinforcement learning for human-AI interaction typically relies on a single large language model to simu...
arXiv
Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams
Multimodal Large Language Models (MLLMs) have been growing the capability for scientific writing and collaboration. F...
arXiv
Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents
LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction...
arXiv
A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery
Background: Accurate segmentation of the Left Anterior Descending (LAD) artery in 3D free-breathing, non-contrast CT ...
arXiv
Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
Artificial intelligence tools for education and language support are increasingly framed as scalable responses to acc...
arXiv
VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies
Agents deployed in enterprise settings must reason across structured APIs and document collections, yet existing benc...
arXiv
Beyond Trial-and-Error: Agentic Optimization for Image-to-Video Adherence
Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lac...
arXiv
Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations
Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial i...
arXiv
Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models
Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional o...
arXiv
Redistribution-based Cost Inference Improves Sparse Safe Offline RL
Safe offline RL typically assumes access to dense per-step cost annotations, but in practice supervisors provide only...
arXiv
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's...
arXiv
DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation
Aerial vision-language navigation (VLN) requires an embodied agent to integrate visual evidence over time, plan futur...
HuggingFace
Agent Safety Should Be a Runtime Contract
The dominant paradigm treats AI safety as a property to be instilled during model training via RLHF, DPO, or Constitu...
HuggingFace
StateFlow: Building, Evolving, and Accessing 3D World States for Previsualization
Previsualization is an intermediate layer between ideas and production in film, games, architecture, and urban design...
HuggingFace
AVA-Encoder: Towards Agent-Native Video Representation Learning
Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce...
HuggingFace
AutoWorldModel-Bench: A State-Centric Benchmark for Automated World-Model Research
World modeling is an unsettled field: architectures, training objectives, and state representations interact in compl...
HuggingFace
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet exis...
HuggingFace
From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection
Videos captured through glass often contain reflections that degrade visual quality and interfere with downstream vis...
HuggingFace
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
Recent work on distillation transfers the capabilities of large models to smaller ones often by updating the latter's...
HuggingFace
NeuPAT: Neuron-aware Plasticity Allocation Tuning for Language-Preserving MLLMs
Multimodal expansion of large language models (LLMs) enables new perceptual capabilities but often compromises the la...
HuggingFace
The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images
The "thinking-with-images" paradigm equips multimodal LLMs with active visual operations such as crop-and-zoom. Howev...
HuggingFace
Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives
The rapid advancement of Large Language Models (LLMs) is revolutionizing AI for Games by enabling open-ended and flui...
HuggingFace
Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models
Recent Vision Foundation Models (VFMs) predict depth, camera pose, and pointmap in a single forward pass without per-...
HuggingFace
AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models
While Vision-Language-Action (VLA) models have advanced embodied AI, their fundamentally reactive paradigm severely l...
HuggingFace
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution
AI agents operate in persistent environments where early state changes can influence decisions far into the future. U...
HuggingFace
Persistent Recursive Worlds Enable Autonomous Software Evolution
Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agenti...
HuggingFace
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these ...
HuggingFace
Simplex Relaxation for Discrete Diffusion
Discrete diffusion models for categorical generation are defined by a corruption kernel, which determines the interme...
HuggingFace
Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulati...
HuggingFace
Self-Evolving Embodied Agents via Skill-Harness Evolution
Embodied agents are increasingly built as systems around foundation models, where performance depends not only on mod...
HuggingFace
Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control
LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome,...
HuggingFace
Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence
AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities a...
arXiv
A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
The application of computer vision in agriculture has shown significant potential for improving crop monitoring and p...
arXiv
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many con...
arXiv
Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory
We prove inference-time quantum coordination advantages for specified AI state-tracking tasks. A solver compresses se...
arXiv
SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
arXiv
RTSKG: Building a Rail Transit Station Knowledge Graph Dataset
Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems,...
arXiv
Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding
Agentic coding READMEs like CLAUDE.md grow without bound in real repositories, stopping only when the repository reti...
arXiv
Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting
Probabilistic forecasting plays an essential role in risk-sensitive decision-making, particularly in long-horizon set...
arXiv
sLTN: Structural Logic Tensor Networks
Logic Tensor Networks (LTN) provide a neurosymbolic framework in which first-order logic is interpreted through tenso...
arXiv
Attention-Path Fragility as an Uncertainty Signal in Large Language Models
We propose that a model's uncertainty about a token is reflected not only in the breadth of its output distribution b...
arXiv
From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop
The Workshop on Trustworthy Natural Language Processing (TrustNLP), co-located with major ACL conferences since 2021,...
arXiv
How to Verify Consistency of Probabilistic Claims
When a probabilistic predictor answers many conditional-probability queries, are its answers self-consistent, and can...
arXiv
Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-Distillation
GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters af...
arXiv
Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards...
arXiv
ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
Synthetic dialogue generation offers a way to study conversational dynamics in sensitive domains where real data are ...
arXiv
Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning
Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled demonstrations: te...
HuggingFace
CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG
Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoi...
HuggingFace
VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?
Large language model (LLM) agents are increasingly deployed as personal assistants. Existing evaluations, however, mo...
HuggingFace
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information
Large language models (LLMs) are increasingly deployed as mobile assistants, where a key challenge is leveraging pers...
HuggingFace
DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments?
Real-world data science involves long-horizon workflows that span data wrangling, exploration, modeling, visualizatio...
HuggingFace
Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design
Agentic systems are increasingly expected to improve after deployment, yet single-entity self-evolution is often boun...
HuggingFace
SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
HuggingFace
Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence
Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, yet their responses remain...
HuggingFace
JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw Puzzles
Jigsaw puzzle solving requires jointly reasoning about visual content and geometric constraints, yet existing benchma...
HuggingFace
TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity
The rapid advancement of artificial intelligence (AI) has significantly accelerated research in time-series analysis,...
HuggingFace
iFAN: Inference-Aware Learning for Plain Mask Transformers
Query-based mask transformers assemble segmentation outputs through pixel-wise competition among query predictions of...
HuggingFace
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can b...
HuggingFace
Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation
We study reference-free post-training for multilingual machine translation with open large language models. Starting ...
HuggingFace
Not Worth Another Token: Marginal Value Estimation for Efficient Deep Research Agents
Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and synthesis, but cont...
HuggingFace
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss
Fréchet distance has recently emerged as an effective distribution-level objective for generator post-training, compl...
HuggingFace
DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation
Visual document retrieval (VDR) is dominated by multi-billion-parameter models that are slow to index at full corpus ...
HuggingFace
Articulated Object Reconstruction from Rest-State Observation
Building interactive digital twins requires recovering both 3D geometry and the kinematic structures that govern how ...
HuggingFace
UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models
Sparse mixture-of-experts (MoE) layers expand recommendation capacity through conditional computation, yet a trained ...
HuggingFace
Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness
Large language model evaluations typically focus on performance under nominal conditions, creating an illusion of cap...
HuggingFace
360CityArena: A Realistic Virtual Urban Navigation Benchmark for Embodied Agents
We present 360CityArena, a benchmark for evaluating the urban exploration capabilities of embodied agents within a ph...
HuggingFace
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
The Large Language Model from Power Law Decoder Representations (PLDR-LLM) and its attention, Power Law Graph Attenti...
HuggingFace
InSight-doc: Agentic Visual Perception for Long-Document Understanding
Long-document understanding often requires reasoning over many visually rich pages, making inference costly and prone...
HuggingFace
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs pres...
HuggingFace
The Loss Does Not See the Basis, but Adam Does
Gradient descent on a factored model W = UV^top is implicitly biased toward low-rank solutions, while Adam, starting ...
HuggingFace
MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have achieved strong performance on a wide range of vision-language tasks, b...
HuggingFace
Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization
Users of modern platforms repeatedly need summaries of recent dialogue, but the window rarely contains enough context...
HuggingFace
SymDiag: Explainable Diagnosis for LLM Reasoning via Neuro-Symbolic Verification
Large language models (LLMs) increasingly serve as data-driven reasoners, yet their chains-of-thought (CoT) can be un...
HuggingFace
A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization
In evolutionary algorithms powered by language models, the LLM acts as a single operator that simultaneously updates ...
HuggingFace
Gaming Without an Attacker: Benchmark Fingerprinting in LLM-Driven Search Under Selection Pressure
Benchmarks for systems that are optimized against the evaluation signal measure something different from what they cl...
HuggingFace
Omega-S: A Functional Resilience Index for LLM Fine-Tuning
Fine-tuning a large language model on new data degrades what it previously learned. We present Omega-S, a drop-in pen...
HuggingFace
MirrorWorld: Taming Video Diffusion Models for Mirror Reflection Generation
Recent advances in video diffusion models (VDMs) have enabled high-fidelity video synthesis. However, generating mirr...
HuggingFace
Business Arena: Benchmarking LLM Agents in a Realistic Marketplace
Running a business is a challenging form of intelligent work. Operators must infer opportunities from partial signals...
HuggingFace
Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating la...
HuggingFace
On-Policy Self-Distillation without Any Supervision
On-policy (Self-)Distillation (OPD / OPSD) has shown strong potential for post-training large language models (LLMs)....
HuggingFace
Beyond Starry Night: Shortcut-Aware Control-State Planning for Artist-Grounded Text to Image Generation
Artist-grounded image generation requires more than appending an artist name to a prompt. Image models often respond ...
HuggingFace
Beyond Sequence Order: Syntax-Informed Positional Embeddings for Transformers
Positional embeddings (PE) in Transformers encode token distance and order but are largely agnostic to syntactic stru...
HuggingFace
The Next Screenshot Knows: Gated Hindsight Distillation for Mobile GUI Agents
GUI agents are commonly trained offline from successful interaction trajectories. Standard training decomposes each t...
arXiv
Agentic Auto-Research is Fuzz Testing
Autonomous research agents can generate experiments faster than researchers can validate them. Researchers have respo...
arXiv
Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy
Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of su...
arXiv
Towards Expert-level Medical AI for Real-time Video Consultations
Audio-visual interaction is the standard for patient-physician consultations, enabling natural communication and effe...
arXiv
Stealing Reasoning Traces from Proprietary LLM APIs
Leading large language model providers now conceal their models' step-by-step reasoning, or chain-of-thought, to prot...
arXiv
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains
We introduce Sci-VBench, a comprehensive benchmark for evaluating knowledge- and reasoning-intensive video generation...
arXiv
ArchAgent v2: A Case Study with the Data Prefetching Championship
Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar technique...
arXiv
Energy-Structured Latent World Models with Neural Time Fields for Physically Constistent Open-World Motion Planning
Physically consistent motion planning remains a fundamental challenge in embodied AI, as generated trajectories must ...
arXiv
SHE: Trajectory-driven Safety Harness Evolution for LLM Agents
The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that ...
arXiv
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs pres...
arXiv
Fusion Training for Mathematical Generalization in Large Language Models
Thinking Mode Fusion (TMF) enables large language models to support both concise responses and long-form reasoning by...
arXiv
DSLE: A Learning Environment for Dark Souls Boss Encounters
We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounter...
arXiv
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from ...
arXiv
From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch
Large language models are increasingly being deployed in governmental settings, yet few existing evaluation framework...
arXiv
Multimodal Model Diffing for Feature Discovery and Control
Multimodal Large Language Models (MLLMs) exhibit strong visual understanding, yet the internal features that cause th...
arXiv
Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions
Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Model...
HuggingFace
RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States
Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-ind...
HuggingFace
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains
We introduce Sci-VBench, a comprehensive benchmark for evaluating knowledge- and reasoning-intensive video generation...
HuggingFace
Motif 3: Technical Report
We introduce Motif 3, a decoder-only Mixture-of-Experts language model with 314 billion total parameters and 13.2 bil...
HuggingFace
SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring
As AI coding agents take on increasingly complex, long-horizon software engineering tasks, existing benchmarks are ra...
HuggingFace
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments...
HuggingFace
Intent Speaks Louder: Controllable User Simulation Beyond Response Imitation
User simulators are widely used as scalable environments for training and evaluating interactive assistants. Generati...
HuggingFace
Evo-Bench: Can Language Models Improve Agent Harness?
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confine...
HuggingFace
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation...
HuggingFace
Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
Large-taxonomy retrieval often assumes that the input already expresses the target concept. In many settings, however...
HuggingFace
RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
General-purpose reward models are increasingly the bottleneck for scaling robot learning, yet the recipe for learning...
HuggingFace
Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory
Memory systems have shown promise for improving agent performance, but their potential remains largely unexplored for...
HuggingFace
OasisKV: Scaling In-Decode KV Cache Beyond HBM with Lookahead Sparse Prefetching
Large language model (LLM) inference serving is increasingly constrained by memory rather than compute. As long-conte...
HuggingFace
Scaling Inherently Interpretable Language Models
Interpretability is often treated as a tax on capability: language models are trained as opaque systems, then explain...
HuggingFace
What to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems
Conversational assistants increasingly recommend follow-up edits to help users continue a task. Existing systems prim...
HuggingFace
A^2E : An End-to-End Agent Auditing Engine
With the rapid advancement of large language models (LLMs), harnesses have become essential infrastructure for deploy...
HuggingFace
Stealing Reasoning Traces from Proprietary LLM APIs
Leading large language model providers now conceal their models' step-by-step reasoning, or chain-of-thought, to prot...
HuggingFace
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interacti...
HuggingFace
Vision-Language Grounding as Bidirectional Concept Correspondence
Vision-language grounding connects language to visual content, yet most existing formulations reduce grounding to a u...
HuggingFace
Ego-OSCAR: Egocentric Open source Stereo CAptuRe System
We present Ego-OSCAR, an open-hardware, low-cost, head-mounted stereo-inertial capture device for egocentric data col...
HuggingFace
WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks
Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment...
HuggingFace
Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss
Small language models are often the only option for deployment under tight latency, cost, and on-premises constraints...
HuggingFace
FATE: Frame-Level Audio-Visual Temporal Embedding
When a dog opens its mouth and barks, humans naturally recognize what the sound is and when it occurs. Building audio...
HuggingFace
When Activation Oracles Learn Not to Read: Concept-Specific Blind Spots in Fine-Tuned Oracles
Activation Oracles (AOs) are language models trained to answer natural-language questions about another model's inter...
HuggingFace
Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle
Once visual content enters an AI pipeline, its owner often retains little technical control over how it is used. Lega...
HuggingFace
Small Foundation Models of Human Cognition and Behaviour
Large language models fine-tuned on human behavioural data have emerged as general-purpose cognitive proxies, but the...
HuggingFace
Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression
Hard prompt compression reduces long-context inference cost by independently scoring tokens, sentences, or chunks and...
HuggingFace
Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious eth...
HuggingFace
DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds
CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training...
HuggingFace
MatrAIx: Simulating the World with 8.3 Billion Persona Agents
Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are ...
HuggingFace
Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting
Sequence models must decide what to write into memory and what to retain. In quantum and quantum-inspired sequence le...
HuggingFace
DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues
Turn-taking is a central component of full-duplex interaction. Which turn-taking behaviors are appropriate varies wit...
HuggingFace
CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models
Benchmarking video-language models has largely focused on short clips and single-sentence metrics, leaving open wheth...
HuggingFace
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control
World generative models are typically used through what they produce: a rendered future, a video-conditioned action, ...
arXiv
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
Test-time scaling is often implemented by spending more compute along one axis: sampling more solutions, extending a ...
arXiv
A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy
LLM inference accounts for over 90% of AI operational energy, scaling directly with input token count---a critical in...
arXiv
TEPA: Revoking Stale Memories for Conflict-Robust Language Agents
Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also crea...
arXiv
Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits
Diffusion Large Language Models (DLLMs) replace autoregressive next-token prediction with iterative parallel denoisin...
arXiv
SABRE: Scalable and Automated Benchmarking of VLMs under Stress
Vision-language models (VLMs) are improving rapidly, but benchmark development lags behind, making weaknesses hard to...
arXiv
Post-Grokking Collapse at the Representation-Readout Interface in Muon-Trained Transformers
Under the standard split, Muon gets hidden matrices and AdamW embeddings/output head. Muon groks modular addition fas...
arXiv
Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing
Reliable hypothesis testing is the foundation of many empirical scientific claims. Large language model (LLM) agents ...
arXiv
PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolv...
arXiv
Blast Radius
Agentic coding faces growing problems of affordability and wasted tokens. We introduce Blast Radius, a predictive mem...
arXiv
Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools
Rapid adoption of large language models (LLMs) in enterprise settings has introduced operational, security, and gover...
arXiv
SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent
LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lig...
arXiv
Strategy-first synthesis planning for complex natural products
The total synthesis of a complex molecule is among the most demanding intellectual and experimental feats in chemistr...
arXiv
Interaction Creates Dynamical AI Behavior Absent in Isolation
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a cou...
arXiv
CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG
Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoi...
arXiv
CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity
While post-training improves the capabilities of large language models (LLMs), it generally lowers their output diver...
HuggingFace
Modular TTT: Rethinking Test-Time Training as Composable Modules
Test-time training (TTT) views sequence modeling as an online learning problem in which fast weights are updated by a...
HuggingFace
Characterizing the Quality Profile of AI-Generated C++ in Production
The widespread integration of AI coding assistants offers undeniable boosts to engineering velocity. Yet, recent stud...
HuggingFace
The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers s...
HuggingFace
StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio...
HuggingFace
Douyin Multimodal Embedding Model Technical Report
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vec...
HuggingFace
Uncertainty-Aware World Model for Aerial Image-Goal Navigation
Aerial image-goal navigation requires an unmanned aerial vehicle (UAV) to reach a target location specified by a goal...
HuggingFace
SimWAM: A Simple World Action Model for End-to-End Autonomous Driving
World-Action Models (WAMs) improve end-to-end autonomous driving by transferring video dynamics priors to action pred...
HuggingFace
When Privileged Guidance Misaligns: State-Matched Routing and Contextualized Self-Distillation for Multi-Turn Agents
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher...
HuggingFace
YOLO-PEFT: Parameter-Efficient Fine-Tuning on YOLO Family
Generic parameter-efficient fine-tuning (PEFT) methods transferred from language models can fail silently on real-tim...
HuggingFace
Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
Autoregressive models accumulate error over long rollouts, yet at deployment there is no ground truth to measure it a...
HuggingFace
PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say
LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. ...
HuggingFace
Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning
Audio reasoning is essential for machine understanding of the acoustic world. Reinforcement learning with verifiable ...
HuggingFace
Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Events
Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and rol...
HuggingFace
Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
Creative capabilities of MLLMs matter in design, communication, education, and human--AI collaboration, yet remain di...
HuggingFace
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs
Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) exhibit fundamentally different behaviors in enhancing m...
HuggingFace
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
Recent works train agents by constructing large-scale multimodal environment pools. However, we find that simply incr...
HuggingFace
Zero Gap Is Not Restoration: Stratified Per-Question Probability Evaluation and Step-wise Mitigation of Benchmark Contamination
Test data from public benchmarks inevitably leaks into pretraining corpora, inflating evaluation scores once memorize...
HuggingFace
Towards Interpretable Foundation Models for Retinal Fundus Images
Foundation models are used to extract transferable representations from large amounts of unlabeled data, typically vi...
HuggingFace
Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence
Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution is inherent...
HuggingFace
OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in emotional intelligence. However...
HuggingFace
MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish. Despite Yid...
HuggingFace
Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval
Short segments of perceived speech can be retrieved from non-invasive magnetoencephalographic (MEG) recordings by dee...
HuggingFace
DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces
Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattere...
HuggingFace
Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay
Computer-use agents pay full frontier inference to re-derive routines their user has already performed, because an ag...
HuggingFace
KVAE: Family of Tokenizers for Multimodal Generative Models
Latent diffusion modeling (LDM), a prominent paradigm, utilizes tokenizers to map input signal to compressed represen...
HuggingFace
FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds
World models have attracted significant attention for their ability to capture and predict the structure and dynamics...
HuggingFace
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills
Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action,...
HuggingFace
GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization
Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene e...
arXiv
Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors
Automatic speaking assessment systems are increasingly deployed in high-stakes settings to mark second language (L2) ...
arXiv
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but...
arXiv
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and ...
arXiv
Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
White matter hyperintensities (WMH), bright regions on Fluid-attenuated Inversion Recovery (FLAIR) scans are associat...
arXiv
Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents
Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark ...
arXiv
Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data
From natural-language query interfaces to automated report generation, data analysis tools need a description of the ...
arXiv
TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading error...
arXiv
Challenges in Evaluating Explanation Methods for Static and Evolving Data
This paper addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evalua...
arXiv
Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents
We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mecha...
arXiv
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping
Real-world video benchmarks provide broad coverage, but their fixed clips entangle event count, rate, duration, and v...
arXiv
AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games
Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, ...
arXiv
An Optimal Agnostic PAC Algorithm
Let $H\subseteq\{-1,+1\}^X$ be a class of finite VC dimension $d\ge1$. Writing $L$ for the binary risk and $L^*=\min_...
arXiv
Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria
The use of e-commerce mobile applications is expanding in Nigeria, creating both opportunities and risks, including f...
arXiv
Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for ...
arXiv
Learning When to Trust via Selective Context Preference Optimization
Language models increasingly condition their answers on external signals, and a single misleading one can turn a corr...
HuggingFace
ChronoVision: Temporal Reasoning via Latent State Reconstruction
Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiri...
HuggingFace
Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval
Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogen...
HuggingFace
On-Policy Delta Distillation for Multilingual Math Reasoning
On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, ...
HuggingFace
GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception fro...
HuggingFace
WorldClaw: Agentic 3D Open-World Generation at Scale
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jo...
HuggingFace
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fai...
HuggingFace
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately cha...
HuggingFace
SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding
Understanding 3D scenes is fundamental to embodied intelligence, requiring joint reasoning over heterogeneous informa...
HuggingFace
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesi...
HuggingFace
World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation
Vision-language-action (VLA) models often treat main-view and wrist-view observations as parallel visual inputs, over...
HuggingFace
PaDoc: Layout-Grounded Parallel Decoding for Document Parsing
End-to-end document parsers provide a unified interface, but serialize page layouts and regional contents into one au...
HuggingFace
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's act...
HuggingFace
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Deep vision models exploit shortcuts, relying on cues that correlate with supervision signals. Prior work has focused...
HuggingFace
EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal
Video object removal must eliminate not only the target object but also its induced effects while maintaining high-fi...
HuggingFace
ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing
Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet t...
HuggingFace
MASS: Multiplayer World Models with Authoritative Shared State
Current video world models struggle in multiplayer environments because they entangle world state with view-dependent...
HuggingFace
From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modelin...
HuggingFace
Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains
Modern Greek is absent from NVIDIA's Nemotron retrieval models and from major multilingual retrieval benchmarks, desp...
HuggingFace
Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation
Multilingual text embedding models are commonly adapted using a single training objective across diverse tasks, despi...
HuggingFace
Continual Learning in Transition
Classical continual learning (CL) has primarily focused on enabling models to update and retain knowledge through par...
HuggingFace
DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack
Flow-matching vision-language-action (VLA) models such as pi0 generate robot actions by integrating a learned denoisi...
HuggingFace
Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers
A framework that persists execution state so a run can be interrupted, survive a crash, and continue must decide what...
HuggingFace
Lossless Tensor Compression as Program Synthesis
Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly co...
HuggingFace
SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language Models
Multimodal large language models (MLLMs) make grounded predictions in real-world scenes by combining visual and textu...
HuggingFace
What AI Red-Team Evaluations Can and Cannot Prove
Red-team evaluations of AI models support some claims and not others, and the boundary between the two is calculable ...
HuggingFace
FinanceHarness: Autonomous Financial Deep Research Framework
Powered by advances in LLMs and autonomous agents, deep research has become one of the most widely adopted agentic pr...
HuggingFace
Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation
Collaborative music agents need internal representations rich enough to support both understanding and generation, ye...
arXiv
VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection
Video Anomaly Detection (VAD) is inherently challenging due to the scarcity of anomalies and the large visual variabi...
arXiv
MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation
Recent advances in machine learning have enabled training of wireless foundation models, which aim to support tasks s...
arXiv
Capability-Gated Planning: Cost-to-Goal Discovery and the Limits of Myopic Experiment Selection
Systems that automate scientific discovery must repeatedly decide which experiment to run, which hypothesis to test, ...
arXiv
Item Response Theory for AI Safety
Language models differ in how safely they behave and these differences are measured by safety benchmarks. But aggrega...
arXiv
Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite
Agents for long term reasoning require a memory that can be efficiently and effectively updated over time, as new fac...
arXiv
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Long-horizon search agents must make multiple sequential actions (steps) to search, retrieve, verify, and integrate e...
arXiv
CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs
AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions acr...
arXiv
Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth
Near-term quantum hardware limits circuit depth and often imposes geometrically local connectivity for quantum genera...
arXiv
Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
Can computer vision help make classrooms safer? In this pilot study, we investigate privacy-aware and computationally...
arXiv
Chained Recursive Language Models for Multi-Iteration Reasoning
Long context reasoning in large language models (LLMs) is usually constrained by the fact that a single inference tra...
arXiv
SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant
Achieving local differential privacy in distributed optimization while maintaining low communication cost remains cha...
arXiv
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
On-Policy Self-Distillation (OPSD) has become a standard post-training approach for improving visual reasoning in mul...
arXiv
Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains
Modern Greek is absent from NVIDIA's Nemotron retrieval models and from major multilingual retrieval benchmarks, desp...
arXiv
OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling
Context lengths of language models (LMs) have dramatically increased, driven by the demands for in-context learning, ...
arXiv
Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning
Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and p...
HuggingFace
UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models
The abundance of casually captured monocular videos and images on social media provides a valuable source for immersi...
HuggingFace
SKILL-KD: Contrastive Skill Distillation for LLM Agents
Skill-based prompting has become a practical mechanism for improving large language model (LLM) agents, yet existing ...
HuggingFace
NOLLI: A Difficulty-Calibrated Puzzle Benchmark for Diagnosing the English-Korean Performance Gap
We introduce NOLLI, a procedurally generated English-Korean puzzle benchmark designed to diagnose where Korean perfor...
HuggingFace
When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents
Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the enviro...
HuggingFace
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Long-horizon reasoning in recent LLMs demands that the model switch between distinct skills inside a reasoning chain,...
HuggingFace
The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads
Personalized LLMs with persistent memory are increasingly deployed, yet the faithfulness of their user models remains...
HuggingFace
When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation
On-Policy distillation (OPD) transfers teacher capabilities by supervising student-sampled trajectories with dense to...
HuggingFace
OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
LLM agents are increasingly applied to open-ended everyday requests that span work, study, and life. These tasks are ...
HuggingFace
WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models
Interactive video world models are essential for long-horizon planning and exploration, yet they suffer from compound...
HuggingFace
BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
Leveraging pre-trained vision-language models (VLMs) to construct vision-language-action (VLA) models has emerged as ...
HuggingFace
Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance
Reinforcement learning with verifiable rewards (RLVR) has become a standard paradigm for post-training large language...
HuggingFace
K-EXAONE 2.0 Technical Report
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research...
HuggingFace
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data
Learning generalizable robot manipulation policies requires large-scale and diverse demonstration data. Egocentric hu...
HuggingFace
Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning
As chart images, tabular data, and visualization code play increasingly important roles across diverse domains, cross...
HuggingFace
Agent Against Agent: An Agentic System for Automatic Prompt Injection Red Teaming
Prompt injection poses significant security risks to LLM agents. Efficient and effective red-teaming is therefore cri...
HuggingFace
AVE-Compass: Towards Holistic Evaluation for Audio-Video Editing Abilities
While instruction-based video editing has advanced rapidly, real-world videos contain tightly coupled audio and visua...
HuggingFace
GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks
Agent self-evolution updates an agent's persistent state from prior experience and reuses it to solve related tasks m...
HuggingFace
FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory
GUI agents must remember both useful experience from earlier tasks and unfinished progress in the current interaction...
HuggingFace
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Long-horizon search agents must make multiple sequential actions (steps) to search, retrieve, verify, and integrate e...
HuggingFace
Self-Evolving Coding Agents
Large language models are increasingly embedded in software engineering workflows as coding agents that can inspect r...
HuggingFace
Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements
Do Large Language Models (LLMs) possess genuine structural reasoning, or merely rely on surface-level pattern matchin...
HuggingFace
Multi-Task Multi-Frame Visual Piano Transcription
Audio-based piano transcription performs well on onset, pitch, and velocity, but the sustain pedal lets sound persist...
HuggingFace
When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings
We identify a previously overlooked failure mode of ALiBi positional encoding: its linear bias scaling underflows flo...
HuggingFace
Better, Stronger, Faster, and Broader: Structured All-Mask Prediction for MLLM-Based Segmentation
MLLM-based segmentation faces a core segmentation trilemma: high segmentation performance, preserved dialogue ability...
HuggingFace
ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels
Historical language change affects morphology, syntax, semantics, and pragmatics, yet computational studies typically...
HuggingFace
RestoreKV: Recovering Full-Cache Behavior Under Aggressive Query-Agnostic KV Cache Eviction
Query-agnostic KV cache eviction compresses a context once and reuses the resulting cache for arbitrary future querie...
HuggingFace
CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
Chart question answering (CQA) requires multimodal large language models (MLLMs) to integrate visual comprehension wi...
HuggingFace
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
On-policy training has emerged as a powerful post-training paradigm for improving the reasoning capabilities of large...
HuggingFace
LegalPincite: Multi-level Legal Information Retrieval Dataset
A common task in legal Information Retrieval (IR) is to find relevant legal sources from case-law collections. While ...
HuggingFace
ARCHead: Activation-Metric Residual Correction for Large Language Model Output Heads
Weight-only quantization substantially reduces the storage of large language model (LLM) transformer blocks, but prac...
HuggingFace
When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs
Self-consistency assumes the most frequent answer among sampled reasoning traces is the most reliable, but this can f...
HuggingFace
Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking
Reasoning language models frequently overthink: generating extended chains of behaviors such as hedging, approach aba...
arXiv
When and Where to Look: Adaptive Visual Evidence Scheduling for Efficient Long Video Understanding
Efficient long-video understanding requires vision--language models (VLMs) to reason over a small number of frames se...
arXiv
Equivariant Music Transformer
Humans recognize a musical passage even when it is shifted in time or transposed in pitch, indicating a notion of equ...
arXiv
The Transformer Revolution, Part 1: Dynamic Processing through Output- Weight Interconnections
This paper offers a new interpretation of the Transformer during inference. Against the "stochastic parrot" view that...
arXiv
PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection
Time series anomaly detection (TSAD) underpins applications in predictive maintenance, finance, and cloud computing, ...
arXiv
Logic Before Language: Pre-pretraining on Formal Derivations Fosters Skill Acquisition and Compressibility
Pre-pretraining language models (LMs) on symbolic data can accelerate and improve natural language acquisition. Howev...
arXiv
TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring
Large language models (LLMs) are increasingly used to provide conversational practice for English-as-a-second-languag...
arXiv
A game theory for foundation models shows new paths to rational cooperation through similarity inference
As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, under...
arXiv
Interpretable Adaptive Sampling for LLM Test-Time Scaling
Test-time scaling improves LLM reasoning by generating and aggregating multiple candidate answers, yet many pipelines...
arXiv
Separating quantum circuits from classical LLMs
Modern large language models - transformers and diffusion language models - are built around two canonical algorithmi...
arXiv
Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations
Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic...
arXiv
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
On-policy training has emerged as a powerful post-training paradigm for improving the reasoning capabilities of large...
arXiv
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video stream...
arXiv
Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss?
Optimizing compilers miss profitable transformations when their enabling semantics are absent from the analyzed progr...
arXiv
Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility
Large language models can solve substantially harder reasoning problems with more inference-time compute. The term "t...
arXiv
TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning
Tool-Integrated Reasoning (TIR) enables LLMs to solve complex tasks through iterative tool interactions. However, exi...
HuggingFace
Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing
Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate under...
HuggingFace
JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
Real-time video editing requires low-latency causal generation with bounded computational resources while preserving ...
HuggingFace
TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning
Tool-Integrated Reasoning (TIR) enables LLMs to solve complex tasks through iterative tool interactions. However, exi...
HuggingFace
CAPEval: A Decoupled Caption Evaluation across Understanding and Generation
Captions serve as a primary supervision signal for both multimodal understanding and text-to-image generation. Howeve...
HuggingFace
AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling
Language remains an outlier in generative modeling: while images, video, and audio are increasingly modeled in contin...
HuggingFace
OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models
Omni-modal large language models (Omni-LLMs) have achieved remarkable performance on audio-visual understanding tasks...
HuggingFace
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning
Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learnin...
HuggingFace
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI ag...
HuggingFace
Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation
Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift rai...
HuggingFace
ExplainBench: Evaluating Code Explanations from Agents
Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in ...
HuggingFace
Quo Vadis, World Modeling?
Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environm...
HuggingFace
ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts
World Action Models (WAMs) have emerged as a promising paradigm by jointly modeling robot actions and future visual d...
HuggingFace
Push-Wiper: Toward General-Purpose Robotic Cleaning across Varied Stains and Surfaces with Segmented Pushing Trajectories
Viscous stains, characterized by high viscosity and complex rheological properties, remain a major challenge for robo...
HuggingFace
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video stream...
HuggingFace
When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills
Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. W...
HuggingFace
LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models
Diffusion language models (dLLMs) offer an alternative to autoregressive (AR) language modeling, yet the scaling beha...
HuggingFace
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs
Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems ...
HuggingFace
ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?
Modern agent frameworks equip large language models with external skill libraries to solve complex tasks. However, it...
HuggingFace
MiniWorld: Democratizing the Training of Video World Models from Scratch
Video world models predict future observations conditioned on historical observations and control signals, enabling l...
HuggingFace
Decoding Children's Gait Behavior
We introduce a new problem domain for human action recognition: the fine-grained analysis of children's gait behavior...
HuggingFace
Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures
Existing evaluations often reduce agent failures to system-level outcomes, obscuring where the fault originated and w...
HuggingFace
A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples
Pixel-space diffusion models aim to learn an end-to-end generator directly over raw pixels. This is challenging becau...
HuggingFace
GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation
Geospatial foundation models aim to learn representations that transfer across regions and sensors, yet evaluating th...
HuggingFace
ICDAR 2026 Competition on Information Extraction from Atomic Layer Deposition/Etching (ALD/E) Scientific Figures
Scientific figure comprehension and reasoning using multimodal AI requires integrating visual perception with domain-...
HuggingFace
Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KV
Long-horizon agents increasingly reuse their KV cache as memory: a serving system keeps a subset of cached entries an...
HuggingFace
Seeing or Knowing? Visual Context Sensitivity in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) achieve strong performance by integrating visual inputs with the rich priors...
HuggingFace
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI
Multimodal clinical models are usually judged on accuracy with every modality present, but deployment removes modalit...
HuggingFace
Zero-Mem: Zero-Token Memory Operations for LLM Agents
LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to opera...
HuggingFace
SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space
World Action Models (WAMs) couple action generation with prediction of future states. Their effectiveness depends on ...
HuggingFace
To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing
Large language models increasingly write and repair production code, yet evidence is mounting that their test-passing...
HuggingFace
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
Enterprise question answering requires models to acquire proprietary knowledge without discarding general capabilitie...
HuggingFace
MemSFT: Mitigating Alignment Tax with an External Parametric Memory
Adapting Large Language Models (LLMs) to specialized domains often incurs an alignment tax, as fine-tuning on domain-...
HuggingFace
AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
Large language model (LLM) agents can self-evolve by continually improving from their own accumulated experience. How...
arXiv
Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions
Language models have taken on the role of a very new type of technology, by virtue of their "human-ness" and rapid in...
arXiv
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
Despite the remarkable progress over the past decades, accurately identifying small objects remains challenging becau...
arXiv
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and mo...
arXiv
CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization
Diffusion Transformers (DiTs) have achieved state-of-the-art (SOTA) performance in visual generative modeling, yet th...
arXiv
Abduction Without a Body? Representational Grounding and the Abduction Loop for Scientific Hypothesis Generation
Can scientific abduction occur without continuous sensorimotor embodiment? Recent arguments in AI and philosophy of s...
arXiv
Optimizing Minimax Regret in Uncertain MDPs with Small Sets of Policies
Sequential decision-making in real-world applications often involves uncertainty about the environment's model. Uncer...
arXiv
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation
The most capable AI deployments are not single models but ensembles of specialized agents that delegate and act in co...
arXiv
Analytic Planning under Uncertainty with Moment Closure
Effective model-based reinforcement learning in stochastic environments requires planning that accounts for predictiv...
arXiv
Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation
Fairness evaluation concerns not only what a model produces, but also what its outputs ought to be compared against. ...
arXiv
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustain...
arXiv
Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection
Retrieval-augmented generation (RAG) imposes a prefill cost proportional to retrieved context length, and -- with Tra...
arXiv
AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies
The efficiency of a datacenter rests on its control plane policies. Designing these policies is increasingly hard: th...
arXiv
CoWAM: Coordination Contracts for Selective Policy Intervention with WAMs
World Action Models (WAMs) augment robot policies with action-conditioned predicted futures, but a plausible future a...
arXiv
UEmbed: Unified Sparse and Dense Multimodal Embeddings
Sparse retrieval underpins modern search systems, from web search to retrieval-augmented generation. Existing work ha...
arXiv
Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
Artificial intelligence (AI) is increasingly central to power and energy systems, supporting modeling, forecasting, o...
HuggingFace
SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks
Speech and audio generation is often needed in animation dubbing, audio drama, movies, advertising, games, podcasts, ...
HuggingFace
Poplar: A Scalable Pipeline for Human-Centric Image Dataset Synthesis
Recent image generators can synthesize convincing human-centric images, yet producing a useful collection remains dif...
HuggingFace
UEmbed: Unified Sparse and Dense Multimodal Embeddings
Sparse retrieval underpins modern search systems, from web search to retrieval-augmented generation. Existing work ha...
HuggingFace
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and mo...
HuggingFace
WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity
Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them i...
HuggingFace
SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledg...
HuggingFace
Progressive Agent Skill Generation via Reinforcement Learning
Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially...
HuggingFace
LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation
Long-form and real-time talking-head generation remains challenging due to a latency-quality trade-off: inefficient m...
HuggingFace
CADENA: Stepwise CAD Reverse Engineering
Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still d...
HuggingFace
DiffusionGemma Technical Report
We introduce DiffusionGemma, an experimental open-weight language model that uses discrete diffusion to generate text...
HuggingFace
LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks
Large language model (LLM) agents increasingly undertake long-horizon tasks that require sustained reasoning, tool us...
HuggingFace
DAPD: Dual-Anchored Policy Distillation
On-policy (self) distillation (OPSD) is increasingly adopted for language-model post-training. It strengthens the tea...
HuggingFace
3DZip: Spatial-Aware Feature Diversity-Guided Token Compression for 3D Question Answering
Recent 3D vision-language models (3D VLMs) construct geometry aware tokens by projecting 2D visual features into worl...
HuggingFace
Motion Beyond Morphology: Bootstrapping Cross-Category Motion Transfer from Abstract Motion Representations
Video motion transfer aims to animate a target object using dynamics from a reference video. Existing formulations la...
HuggingFace
DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents
Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametri...
HuggingFace
Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts
Vision-language MoE batches contain different numbers of image and text tokens. Image resolution, image count, tiling...
HuggingFace
GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding
Adaptive rounding methods such as GPTQ, or equivalently Babai's nearest plane algorithm, round a real matrix to integ...
HuggingFace
GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
Optimization-based latent reasoning improves large language model outputs by optimizing instance-specific continuous ...
HuggingFace
DreamTraj: Generating 6-DoF Object Trajectories by Reading Unrendered Video Diffusion Latents
Accurate prediction of object trajectories during manipulation is essential for closing the perception-action loop. P...
HuggingFace
RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems
Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, object...
HuggingFace
RL^2-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models
Despite the impressive visuomotor capabilities enabled by Vision-Language-Action (VLA) models, their performance ofte...
HuggingFace
SAF-OPD: Stable Advantage Fusion for On-Policy Distillation
Reinforcement learning with verifiable rewards (RLVR) broadcasts a single response-level reward to every token, while...
HuggingFace
Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm
Emotional dialogue research includes two influential strategy traditions. Empathetic dialogue prioritizes understandi...
HuggingFace
EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents
The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life...
HuggingFace
Constitutional Midtraining: Content Presence Drives Alignment Gains
Post-training alignment is often shallow, eroding under fine-tuning. Whether midtraining interventions, cleanly isola...
arXiv
ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation
Standard AI-text detection benchmarks compare human-written text against text generated directly by large language mo...
arXiv
AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction
Large language models have demonstrated strong mathematical problem-solving capabilities, yet reliably verifying thei...
arXiv
COntExt: Towards Context-Aware Ontology Extension from Operational Metrics
Organizations increasingly define operational metrics in structured, machine-readable formats to monitor systems, pro...
arXiv
LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback
Reinforcement Learning (RL) systems are typically trained using a single, well-specified scalar reward function. Howe...
arXiv
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models
Symbolic Regression (SR) aims to discover analytical equations from observational data and plays a central role in sc...
arXiv
DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat
Games and simulators make valuable benchmarks by turning decisions into measurable outcomes, but many current suites ...
arXiv
TraceViT: Grounded Trace Supervision for Visual Abstract Reasoning
The Abstraction and Reasoning Corpus (ARC) tests whether a model can infer an unseen transformation from a few input-...
arXiv
FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models
Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a benchmark for infe...
arXiv
A Human-Centered Validation of the Explainability-Performance Coefficient
The rapid adoption of deep learning models in high-risk domains has intensified the need for trustworthy Explainable ...
arXiv
When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
Imitation learning (IL)---training an agent to replicate expert behavior from demonstrations---underpins applications...
arXiv
CENDRe: Concept Extraction with Natural Domain Representations
Convolutional neural networks (CNNs) are widely used for time-series classification, but their deployment in critical...
arXiv
The Theoretical Foundation of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Traditional static assessments rely on a subtractive, deficit-based grading model that often penalizes ambition and o...
arXiv
AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers
As LLMs evolve from code completion systems into autonomous scientific agents, evaluating their ability to conduct ex...
arXiv
Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics
Fault detection and diagnosis (FDD) technology is essential for improving HVAC system reliability, energy efficiency,...
arXiv
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
Enterprise workflows increasingly rely on agents for \emph{schema-guided extraction}: given a document and a user-def...
HuggingFace
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent progress in reasoning-oriented large language...
HuggingFace
N_0-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens
We present N_0-VTLA, a vision-tactile-language-action (VTLA) foundation model capable of (1) fine-grained contact-ric...
HuggingFace
QQWorld: Quantile-Quantile Matching for World Model Regularization
Latent world models enable efficient planning by predicting future states in a compact representation space, but thei...
HuggingFace
Scaling Properties of Text Conditioning in Visual Generation
We study empirical scaling properties for text conditioning in visual generation. Such properties have rarely been me...
HuggingFace
Meshy T2: Fast Native Mesh Generation with Flow Matching
Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes w...
HuggingFace
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined sc...
HuggingFace
Evaluation-Verification Reward for Consistent Multi-Reference Image Editing
While recent image editing models have made rapid progress, multi-reference editing remains challenging, particularly...
HuggingFace
Enhancing Rubric-based RL via Self-Distillation
Rubric-based RL has recently shown promise in improving LLMs on open-ended tasks. A widely recognized limitation of r...
HuggingFace
Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs
Large language model safeguards decide whether to answer before seeing how an answer will be used. This creates a bas...
HuggingFace
SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift
RGB imagery offers a practical, low-cost option for Unmanned Aerial/Ground Vehicle (UAV/UGV) survey support in surfac...
HuggingFace
N_0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation
We present N_0-TWAM, a tactile-native world-action model for contact-rich manipulation that predicts both future visi...
HuggingFace
Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning
As large language models (LLMs) continue to advance in complex reasoning tasks, they have learned to heavily prioriti...
HuggingFace
ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
In the physical world we inhabit, space and time are fundamentally continuous. However, existing machine learning par...
HuggingFace
One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA
Can every robot in a swarm predict the same future collective state from only local observations and bandwidth-limite...
HuggingFace
Mental World Modeling
World models enable a predictive substrate for planning and action, yet existing formulations merely answer a physica...
HuggingFace
Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants
AI-assisted coding increasingly translates informal user intent into executable software, yet coding requests often c...
HuggingFace
Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark
Robust low-light imaging remains challenging for the community. Recent studies have explored fusing Near-Infrared (NI...
HuggingFace
In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
Autonomous driving systems (ADS) are rapidly advancing and increasingly deployed in real-world applications. This cre...
HuggingFace
SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
Autonomous multi-vehicle racing requires real-time planning of diverse competitive behaviors in intense interactions....
HuggingFace
Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT Reasoning
Reinforcement learning with verifiable rewards (RLVR) is central to improving long-CoT reasoning in large language mo...
HuggingFace
Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations
This work presents Fairness Pruning, a lightweight structural intervention method designed for the management and fut...
HuggingFace
Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts Routing
Sparse mixture-of-experts (MoE) language models route each token to multiple experts, suggesting a geometric account ...
HuggingFace
β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation
On-policy self-distillation (OPSD) is a promising approach to improve reasoning language models, but it remains britt...
HuggingFace
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models
Existing token compression methods for omnimodal large language models typically rely on one modality to determine wh...
arXiv
What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration
All-in-one image restoration aims to handle diverse degradations within a unified framework. Existing methods commonl...
arXiv
MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
Large language model-based multi-agent systems improve complex problem solving through task decomposition, agent spec...
arXiv
ORCA-bench: How Ready Are Language Model Agents for Oncall?
Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something diffe...
arXiv
APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems
Predicting the 3D structures of atomic systems is fundamental to advancing material science and drug discovery. While...
arXiv
Rethinking Inference-Time Scaling in Local Computer-Use Agents: Failure Modes and Compute Tradeoffs
Deploying autonomous computer-use agents (CUAs) locally is increasingly important for privacy, cost efficiency, and p...
arXiv
Algorithms for Structured Elections under Thiele Voting Rules
We study the computational complexity of winner determination problems in approval-based committee elections under Th...
arXiv
Sample More, Reflect Less: Self-Refine and Reflexion Lose to Repeated Sampling at Equal Token Cost, from 1.5B to 7B
Methods that make a language model plan, criticise and rewrite its own answer, reflect on mistakes, pick the best of ...
arXiv
DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation
While Multimodal Retrieval-Augmented Generation (MM-RAG) has shown promising results, it still struggles with complex...
arXiv
PAIChecker: Uncovering and Checking PR-Issue Misalignment in SWE-Bench-Like Benchmarks
SWE-bench-like benchmarks are widely used for evaluating LLM's issue resolution capability. They typically follow a c...
arXiv
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's act...
arXiv
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applicati...
arXiv
AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet ex...
arXiv
PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball
We present PAC-MAN, a perception-aware CBF-RL framework that couples control-barrier safety with deployment-realistic...
arXiv
ReToken: One Token to Improve Vision-Language Models for Visual Retrieval
Long visual context poses a challenge for vision-language models: performance degrades as the number of distractors g...
arXiv
Learning to Trace Seiberg Dualities
Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical ...
HuggingFace
Beacon: Knowing When and How to Perform Agentic Visual Reasoning
The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (...
HuggingFace
RefCaptioner: Multi-Reference Image-Grounded Video Captioning
Existing video captioning models generate natural descriptions of video content but cannot explicitly ground local vi...
HuggingFace
Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents
GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them tow...
HuggingFace
Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory
Decoder-only language models entangle long-term memory and reasoning in a single parameter set, making it difficult t...
HuggingFace
Can Large Language Models Execute Parent Orders?
Parent-order execution is a core problem in algorithmic trading, where the goal is to split a large order into smalle...
HuggingFace
MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing
Text-to-image and personalized editing models now synthesize high-fidelity single-subject images with ease. Yet placi...
HuggingFace
Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation
Role-playing agents (RPAs) have become one of the most important consumer applications of large language models. User...
HuggingFace
AI Tour Meeting: Group Travel Planning by LLM Agents
This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)...
HuggingFace
Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes
Speculative Decoding (SD) accelerates large language model inference by allowing a lightweight draft model to propose...
HuggingFace
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
The deep learning revolution, kicked off by AlexNet, taught us that end-to-end training beats decomposing a problem i...
HuggingFace
LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger
Multimodal agents for visual question answering increasingly operate as multi-step trajectories that interleave perce...
HuggingFace
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models
Forward latent world models predict how actions change a scene, but recover actions for a desired change only through...
HuggingFace
Multi-Head Attention Residuals
Transformers propagate information across depth through a single additive residual stream: every sublayer reads only ...
HuggingFace
AMRD: Adaptive Multi-Teacher Relational Distillation for Lightweight Speech Emotion Recognition
On-device speech emotion recognition (SER) is critical for real-time applications, yet large self-supervised models t...
HuggingFace
ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow
We present ShadowDancer, a novel approach to any-action, frame-level control of interactive video world models. The o...
HuggingFace
Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions
Deep Research agents extend LLM-based assistants into long-horizon workflows involving planning, retrieval, evidence ...
HuggingFace
Pedestrian Archetypes Extension -- More Pedestrian Models for Autonomous Vehicle Safety Testing
In our prior work, Pedestrian Archetypes, we defined pedestrian archetypes as collections of behaviors that uniquely ...
HuggingFace
Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability
Deployed LLM agents increasingly keep their long-term memory as a filesystem: a directory tree of markdown files that...
HuggingFace
See2Think: Do Multimodal Models Really Use Intermediate Visual States?
Multimodal large language models increasingly use sketches, annotations, tools, and intermediate images during reason...
HuggingFace
Σ-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems
Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rath...
HuggingFace
CADENCE: Closing the Reasoning Gap via Coverage-Adaptive On-Policy Distillation
On-policy knowledge distillation transfers reasoning from large teachers to compact students, but existing approaches...
HuggingFace
Memory for Large Language Models
Memory has evolved into a foundational architectural dimension in large language models (LLMs), shifting from an impl...
HuggingFace
πR^2: Reactive Real-time Flow Policies
Generalist manipulation policies increasingly take the form of action-chunking flow policies built on large pretraine...
HuggingFace
Voice Memory for Agentic Speech Recognition
We present Voice Memory, a inference-only scheme for agentic speech recognition: at stream time, a frozen corrector r...
HuggingFace
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation
Existing autoregressive video distillation methods commonly adopt a Distribution Matching Distillation (DMD)-based mu...
HuggingFace
MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis
Coding agents have made substantial progress on software engineering tasks that modify existing codebases, including ...
HuggingFace
SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch
LLM-based agents excel at software engineering tasks where an existing codebase provides context, but constructing a ...
arXiv
On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment
Fine-tuning is the dominant paradigm for specializing large language models (LLMs), yet it exposes a critical vulnera...
arXiv
Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents
As LLM agents increasingly depend on diverse external services such as search engines, databases, and connectors, age...
arXiv
SciFigQual-Bench: A Benchmark for Scientific Figure Quality Assessment with Full-Manuscript Context
Scientific images are the core elements of presenting experimental conclusions, elaborating system architecture, and ...
arXiv
MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning
With the development of audio large language models (AudioLLMs), audio captioning needs to move from brief descriptio...
arXiv
AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching
Ontology matching (OM) has traditionally been formulated as either equivalence discovery or subsumption matching. The...
arXiv
Linguistic Monoculture in LLM-Assisted Language Use
Writing and communication are increasingly mediated by large language models (LLMs) that are being used to draft, rev...
arXiv
DLAM: Distributional Latent Actions with Temporal Constraints
Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free video...
arXiv
Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark
High-stakes decision systems in credit scoring, fraud detection, healthcare, and industrial safety require reliable u...
arXiv
Anatomy Contextualized Adaption of CT Foundation Models
CT vision-language foundation models have demonstrated promising performance across downstream tasks, but are typical...
arXiv
OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding
Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing be...
arXiv
Improving Item Discoverability in e-Commerce Search via Related Intent Generation
Traditional search systems are optimized to retrieve items that strictly match a query, often prioritizing precision ...
arXiv
Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
Effective collaboration with novel and diverse partners is a crucial skill for autonomous agents. Most current ad-hoc...
arXiv
The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making
Conversational AI is increasingly positioned as a teammate rather than a tool, yet we know little about how its prese...
arXiv
APEX-Accounting
We introduce APEX-Accounting, a benchmark built by Mercor in partnership with Ramp, to assess whether frontier models...
arXiv
Can AI agents conduct open-ended AI research? Early evidence from two case studies
Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carr...
HuggingFace
Explicit Layer Modeling for Video Object Insertion and Layer Decomposition
Most video editing systems still lack explicit layered video representations, limiting their ability to perform reali...
HuggingFace
GPT-Red: Automated Red Teaming via Self-Play at Scale
We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks again...
HuggingFace
HumanCLAW: Can Vision-Language Models Act Through a Body?
Evaluating whether a vision-language model (VLM) can act through a physical body is challenging. The outcome of an ac...
HuggingFace
TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM
Vision-language-action (VLA) models commonly adopt an LLM-centric V to L to A pathway, where visual observations are ...
HuggingFace
Can AI agents conduct open-ended AI research? Early evidence from two case studies
Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carr...
HuggingFace
OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding
Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing be...
HuggingFace
StealthBench: Measuring Operational Stealth in Autonomous Offensive-Security Agents
Stealth, the discipline of achieving an objective without revealing your presence, capabilities, or collected intelli...
HuggingFace
CAST: Game Solvers as Turn-Level Teachers for LLM Agents
Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-mak...
HuggingFace
DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space
Text-space optimization adapts large language models (LLMs) by editing external natural-language artifacts rather tha...
HuggingFace
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution
Large language model agents often encounter related yet distinct tasks that share reusable solution patterns. Yet sta...
HuggingFace
CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization
Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit cri...
HuggingFace
CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition
Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained kno...
HuggingFace
Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems
Modern multi-agent knowledge systems increasingly accumulate knowledge through chains of autonomous transformations r...
HuggingFace
SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response
Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host arti...
HuggingFace
StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation
Recent game world models can generate visually realistic and interactive environments conditioned on player actions. ...
HuggingFace
CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents
Coding agents repeatedly search, navigate, and retain context from evolving repositories, but disconnected indexes, l...
HuggingFace
GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels
Existing BraTS-GLI datasets provide a widely used benchmark for adult glioma MRI segmentation, but their task definit...
HuggingFace
Edge-Aware Thermal Infrared UAV Swarm Tracking
Thermal infrared (TIR) imaging is essential for UAV swarm operations in visually degraded environments. However, trac...
HuggingFace
Projection Pursuit CPCANet for Domain Generalization
Domain Generalization (DG) aims to learn representations robust to distribution shifts. Recent geometric alignment me...
HuggingFace
Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents
Modern coding agents are usually evaluated by whether they eventually produce a correct patch, but patch generation d...
HuggingFace
OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distrib...
HuggingFace
Reinforcement Learning for Code Optimization
RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and ...
HuggingFace
Uncovering Latent Reasoning Strategies in Language Models
A language model p_θ(y mid x) trained on reasoning tasks learns to solve problems via multiple distinct strategies, y...
HuggingFace
How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF
In RLHF pipelines, reward scoring blocks policy updates. Slow scoring bottlenecks the entire loop, since no update ru...
HuggingFace
Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection
Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how...
arXiv
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
Any-to-any models predict any modality from any combination of others within a single network, a formulation used in ...
arXiv
Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Multi-warehouse inventory allocation is typically formulated as a mixed-integer programming (MIP) problem, yet no sin...
arXiv
Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs
Wikipedia and Wikidata are widely used for information access, LLM pre-training, and retrieval-augmented generation. ...
arXiv
Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition
Ambivalence and hesitancy (A/H) are conflicting affective states that precede the delay or abandonment of health beha...
arXiv
Reinforcement Learning for Code Optimization
RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and ...
arXiv
MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents
Recently, memory management has become a key infrastructure for LLM-based agents, as it directly affects long-horizon...
arXiv
Does Runtime Topology Context Improve LLM-Generated Kubernetes Security Patches?
Kubernetes is central to the cloud-native ecosystem, orchestrating containerised workloads. Recent work suggests that...
arXiv
Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
Tabular Foundation Models (TFMs) have emerged as novel approaches for tabular predictive tasks, demonstrating competi...
arXiv
Pictura: Perspective-View Self-Play at Scale for Driving
Self-play in simulation produces robust driving policies at scale. Demonstrations of such behavior have been made usi...
arXiv
MDTransformer: A Hardware-Software Co-Design of Mode-Division Photonic Transformer Accelerator with Inverse-Designed Coherent Crossbar
Recently, photonic transformer accelerators (PTAs) have successfully achieved significant speedup and energy efficien...
arXiv
CHARM: A Multimodal Graph Foundation Model with Hierarchical Context Modeling for Zero-Shot Transfer
Graph foundation models (GFMs) have emerged as a promising paradigm for transferring knowledge across graph domains a...
arXiv
Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment
Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even ...
arXiv
Desktop-Delta Bench: Do Computer-Use Models Understand Desktop GUI Transitions?
Computer-use agents (CUAs) increasingly act through desktop GUIs to complete long-horizon tasks. Current benchmarks p...
arXiv
$π\mathbf{R}^2$: Reactive Real-time Flow Policies
Generalist manipulation policies increasingly take the form of action-chunking flow policies built on large pretraine...
arXiv
Pass the Baton: Trajectory-Relayed On-Policy Distillation
On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix...
HuggingFace
Towards Robust Reinforcement Learning for Small-Scale Language Model Agents
The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often c...
HuggingFace
Shieldstral
We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms mod...
HuggingFace
Wonder: Video World Model Done Better
We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration. Given an...
HuggingFace
OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs
Emerging Omni-modal Large Language Models (OmniLLMs) enable unified understanding of text, audio, and video, but thei...
HuggingFace
Visual prompt engineering for video models
In the age of foundation models, a model is only as good as its prompt. For this reason, prompt engineering has becom...
HuggingFace
Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory
Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. Th...
HuggingFace
PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models
We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities...
HuggingFace
HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
Learning deployable manipulation policies is bottlenecked by the scarcity of data that is both high-fidelity and scal...
HuggingFace
A New Role for Relevance: Guiding Corpus Interaction in Agentic Search
Relevance is a query-dependent estimate of whether a document or excerpt contains useful evidence. Existing retrieval...
HuggingFace
Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model
Standard vision-language models (VLMs) suffer from Moravec's paradox: they excel at complex offline visual reasoning ...
HuggingFace
ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition
Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, ...
HuggingFace
Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion
We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK Enterprise...
HuggingFace
Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking
Multimodal automated fact-checking (MAFC) verifies claims by retrieving and reasoning over external evidence. However...
HuggingFace
Pass the Baton: Trajectory-Relayed On-Policy Distillation
On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix...
HuggingFace
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
Any-to-any models predict any modality from any combination of others within a single network, a formulation used in ...
HuggingFace
Parallel Decoding Distillation for Fast Image and Video Generation
Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling proc...
HuggingFace
Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control
Joint-Embedding Predictive Architectures (JEPAs) learn world models by predicting in representation space rather than...
HuggingFace
VisualPatchWorld: Code World Models as Latent Structured Representations for Planning
Different research lines use the term world model in different ways, yet they share a common aim: to capture how the ...
HuggingFace
Where Quality Breaks in Compressed Short-Text Generation: Staged Bottleneck Localization
Compressed short-text generators can fail in two different places: the codec may discard information before generatio...
HuggingFace
TRACE: Business Rule-Grounded Reasoning Curriculum for Knowledge-Preserving Parametric Tool Retrieval in Enterprise LLMs
Parametric retrieval enables LLMs to retrieve tools implicitly by assigning each API a unique virtual token and train...
HuggingFace
A Vocabulary for Multi-Agent Automated Research Systems
We introduce a vocabulary for automated research systems built from one or more agents to make their design choices e...
HuggingFace
WorldDiT: A Unified Diffusion Architecture for World and Action Modeling
Many recent robot policies pursue stronger control by using large pretrained vision-language models (VLMs) as the act...
HuggingFace
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models
Large Vision-Language Models (LVLMs) remain bottlenecked by massive computational footprints, precluding their deploy...
HuggingFace
TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward
Recent advances in powerful text-to-image generation models have made it increasingly important to develop test-time ...
HuggingFace
Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features
Bitcoin price prediction on sub-daily timescales is a hard open problem in computational finance. Bitcoin exhibits fa...
arXiv
Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents
Autonomous LLM agents processing mixed-confidentiality data face severe security risks from prompt injection attacks ...
arXiv
Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects
The wide-scale use of sparse autoencoders (SAEs) as interpretability tools is limited by inconsistent links between S...
arXiv
Efficiency Matters in Autonomous Research
AI-driven autonomous research (AR) systems are becoming increasingly effective across a broad range of tasks. Their p...
arXiv
Reason-Mediated Behavioral Models for Auditing LLM Social Simulators
Large language models are increasingly used as social simulators, including as synthetic survey respondents. Most eva...
arXiv
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Scientific user facilities accumulate decades of operational knowledge that no single search index covers: electronic...
arXiv
Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating
A language model with a bounded working memory must repeatedly decide which stored items to keep. Every deployed meth...
arXiv
Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification
Multi-modal classification leverages complementary information across diverse data sources to enhance predictive perf...
arXiv
Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
Inference systems increasingly combine a fast path that returns predictions within the application's latency deadline...
arXiv
ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams
Entity-Relationship Diagrams (ERDs) are central to conceptual database design, yet they are typically available only ...
arXiv
Efficient LLM-Generated Shuttling Compilers for Complex Trapped-Ion Architectures
Trapped-ion quantum computers rely on shuttling compilers, which cast an input algorithm into a sequence of ion-qubit...
arXiv
DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data
Pretraining data processing is critical to the downstream performance of Large Language Models (LLMs). However, many ...
arXiv
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains...
arXiv
KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability
Computer vision models have become highly effective for medical applications, yet their black-box nature continues to...
arXiv
Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation
On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the curren...
arXiv
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying the...
HuggingFace
OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation
Recent generative models are moving beyond silent video or standalone audio synthesis toward the joint generation of ...
HuggingFace
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Agentic search enables large language models to solve knowledge-intensive tasks by interleaving multi-step reasoning ...
HuggingFace
DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes
While data curation for Vision Language Models (VLMs) is increasingly active, public practice for constructing pretra...
HuggingFace
JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents
Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent ge...
HuggingFace
Kimi K3: Open Frontier Intelligence
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision ...
HuggingFace
FilmBench: A Film-Grade Benchmark for Cinematic Video Generation
Progress in video generation keeps narrowing the visual gap between AI-generated and professionally produced footage,...
HuggingFace
GNM Head: A Generative aNthropometric Model of the human head
Parametric models of the human head are essential tools traditionally used in computer vision and graphics for animat...
HuggingFace
A Frozen 12B Beats Frontier Models on Verified Work: 100% Accuracy, 0 Tokens, Bit-Exact, Forever
Improving a language model today means retraining it: enormous compute, a new opaque model each cycle, non-determinis...
HuggingFace
Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On
We present Oxygen-TryOn, a unified foundation model for any-item virtual try-on. Rather than repurposing a general-pu...
HuggingFace
dRAE: Representation Autoencoder with Hyper-Spherical Codes
In this work, we aim to discretize the high-dimensional visual representations to bridge the gap with language models...
HuggingFace
Leveraging External Knowledge for Historical Document Restoration via Retrieval-Augmented Large Language Models
Historical documents act as invaluable knowledge archives but often suffer from illegibility due to physical deterior...
HuggingFace
Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation
On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the curren...
HuggingFace
IndicTalk: A Large-Scale Persona-Based Multilingual Conversational Corpus for Indic Languages
Large Language Models (LLMs) have transformed conversational AI, yet high-quality multilingual code-mixed dialogue re...
HuggingFace
Evidence Attribution in Visual Document Understanding without Coordinates or Region Labels
Reliable visual document understanding requires a model to attribute each answer to the evidence regions that support...
HuggingFace
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains...
HuggingFace
Codifying the Judge: Scalable Evaluation via Program Distillation
LLM-as-a-judge has become the standard for automated evaluation, but it suffers from high cost, significant latency, ...
HuggingFace
Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
The rapid evolution of generative models has unlocked new potentials in protein binder design, a pivotal task in stru...
HuggingFace
Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification
Diffusion transformers are essential for high-fidelity video generation, but long token sequences make attention a do...
HuggingFace
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models
Large reasoning models (LRMs) generate long reasoning traces before producing final answers. While these traces may c...
HuggingFace
Characterizing Warp Divergence from Pascal to Blackwell
Since Volta introduced Independent Thread Scheduling (ITS), NVIDIA GPUs have been widely assumed to handle warp diver...
HuggingFace
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning
Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, whi...
HuggingFace
Interactive Training 2: Auditable Control Plane for Live Model Training
Experiment trackers show how training is progressing, but changing a live run still usually requires trainer-specific...
arXiv
Robot Learning to Communicate through Projected Visual Abstractions
Humans routinely communicate through abstractions of their bodies, including shadows, silhouettes, and reflections. Y...
arXiv
Hyperball May Not Be a Free Lunch
For scale-invariant deep networks, Hyperball-style optimizers have shown strong performance in large-scale training b...
arXiv
Dynamic Capability Scoping for Enterprise AI Agents: A Synthetic Dataset and Three-Source Permission Architecture
Enterprise AI agents are typically granted static credential sets at configuration time, holding every tool the role ...
arXiv
Phylogenetic signal in marine mammal and bird vocalizations captured by audio foundation models: the limited benefit of domain-specific pretraining
Do learned audio embeddings encode structure that nobody told them to encode? We probe four large pretrained audio mo...
arXiv
Beyond Perspectives: A Trio-Ethnography of Interpretation Evolution in LLM-Supported Programming Education
Generative AI is reshaping programming education, yet educators often infer students' AI-supported learning from clas...
arXiv
TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AI
Routing to select large language models (LLMs) with different cost-quality trade-offs has become a fundamental deploy...
arXiv
Learning to Prepare Molecular Ground States with Transformer Models
Quantum state preparation is a key component of many quantum algorithms. Performing this step efficiently is essentia...
arXiv
MineValiCoder: Reliable Code Generation with Test Case Quality Mining and Bipartite Graph-Based Mutual Validation
Large Language Model (LLM)-based Test-Driven Development (TDD) has advanced automated code generation. However, exist...
arXiv
\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating
Low-Rank Adaptation (LoRA) has become a widely adopted technique for efficient neural network fine-tuning, decomposin...
arXiv
CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference
Automating theoretical research is constrained not only by the generation of candidate results, but also by their rel...
arXiv
Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science
Commercial large language models are increasingly used as knowledge references, yet their stance on contested scienti...
arXiv
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
A central design principle in modern machine learning and artificial intelligence is to align a model's inductive bia...
arXiv
The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents
Adding procedural skills to an LLM agent is typically evaluated by average improvement in task success. However, this...
arXiv
Explainable Reinforcement Learning for assisting Air Traffic Controllers
To effectively integrate AI into high-stakes, critical environments such as healthcare, autonomous driving, and aviat...
arXiv
SM4RT: Learning Structured Motion Geometry for 4D Reconstruction
Geometry Foundation Models (GFMs) have substantially advanced monocular 3D reconstruction, yet extending this capabil...
HuggingFace
Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
LLM training is shifting from manual design and annotation to interaction-driven self-evolution. However, existing se...
HuggingFace
SceneActBench: Can Agents Act on the 3D Scenes They See?
Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existin...
HuggingFace
Scaling Native Multimodal Pre-Training From Scratch
Although large language models (LLMs) exhibit remarkable reasoning capabilities, their reliance on text-only pre-trai...
HuggingFace
Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering
Recent conditional video generation models have shown promising potentials to transform 3D engine renderings, such as...
HuggingFace
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new ...
HuggingFace
LAMAR: An Open Language-Aware Multilingual Alignment Reranker
In multilingual retrieval augmented generation, a retriever can retrieve relevant documents written in multiple langu...
HuggingFace
VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression
Vision-language models (VLMs) process large numbers of visual tokens, resulting in substantial inference latency and ...
HuggingFace
IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation
Large Language Models (LLMs) have significantly automated the process of scientific discovery over the past few years...
HuggingFace
Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems
Production AI agents' failures are less often due to an inability to reason well and more often because they cannot m...
HuggingFace
Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making
Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-toke...
HuggingFace
DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
The quality of training data fundamentally determines the capabilities of large language models (LLMs), yet no unifie...
HuggingFace
Three-Body Scattering for Generative Modeling
Modern generative models typically rely on an adversarial critic, a prescribed noise-to-data path, or an autoregressi...
HuggingFace
Spectral Prior for Reducing Exposure Bias in Diffusion Models
Diffusion models typically suffer from error accumulation during iterative sampling, commonly referred to as exposure...
HuggingFace
Multimodal Speaker Verification as a Threat to Speaker Anonymization
Most automatic speaker verification (ASV) systems operate on individual utterances, despite real-world interactions t...
HuggingFace
Self-Supervised Learning of Structured Dynamics from Videos
Understanding motion in video is a fundamental challenge for visual learning, as frame-to-frame change entangles two ...
HuggingFace
FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents
Agentic Reasoning has become a transformative force in financial analysis due to its ability to integrate large-scale...
HuggingFace
SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation
We introduce SANA-Video 2.0, a hybrid video diffusion transformer instantiated at 5B and 14B scales under a unified a...
HuggingFace
Multi-Turn On-Policy Distillation with Prefix Replay
We study on-policy distillation (OPD) for agentic tasks, where an LLM agent interacts with an environment over multip...
HuggingFace
Dataset Distillation by Influence Matching
We revisit dataset distillation from an outcome-centric perspective. Rather than aligning process surrogates (per-ste...
HuggingFace
OpenForgeRL: Train Harness-native Agents in Any Environment
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn r...
arXiv
Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation
Even a current high-capability LLM can appear safer when shown a dangerous objective directly than when other agents ...
arXiv
GS-Agent: Creating 4D Physical Worlds With Generative Simulation
Creating dynamic and physically realistic 4D worlds from natural language descriptions is both fascinating and challe...
arXiv
ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing
Test-Time Tuning (TTT) on pretrained diffusion models has emerged as a powerful paradigm for video editing. However, ...
arXiv
From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs
Concurrent stateful library APIs expose behavior through evolving resource ownership, lifecycle states, and competing...
arXiv
The Boundaries of Automation: A Theory of Persistent Human Participation
The rapid progress of AI has intensified the long-standing pursuit of automation: replacing human participation with ...
arXiv
MIRROR: Learning from the Other View for Multi-Modal Reasoning
Unlike large language models (LLMs) that exhibit strong reasoning capabilities, vision-language models (VLMs) struggl...
arXiv
Visual Contrastive Self-Distillation
On-policy self-distillation (OPSD) is promising as it removes the external teacher required by on-policy distillation...
arXiv
OpenForgeRL: Train Harness-native Agents in Any Environment
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn r...
arXiv
Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral Reasoning
Building socially calibrated large language models, which can learn from others without simply yielding to them, requ...
arXiv
Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana
A consensus anomaly detection framework was applied to monthly malaria surveillance data from Ghana (2014-2023) to id...
arXiv
Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity
Faithful explanations of time-series classifiers should identify subsequences that are not only sufficient to preserv...
arXiv
Synthetic data generation framework for quality control automation in gravure printing
Quality control in printing, particularly in rotogravure printing, still depends on slow, costly, and subjective manu...
arXiv
Barzilai-Borwein Fails Superlinear Convergence on an Open Set of Quadratics for Every Dimension $n\geq 4$
Barzilai--Borwein (BB) method has shown strong practical performance in continuous optimization, yet its convergence ...
arXiv
GraphVid: Interactive Graph-Controllable Video Generation
Controllable video generation remains challenging due to the difficulty of specifying precise multi-object interactio...
arXiv
3D-Aware VLMs with Implicit and Explicit Geometries
Despite rapid progress, most existing vision-language models (VLMs) built from 2D visual inputs often struggle when h...
HuggingFace
ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely co...
HuggingFace
Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers
Multi-agent interactive world models should not only generate consistent observations, but also maintain world states...
HuggingFace
TableVerse: A Large-scale Tabletop Dataset with Real-world Grounded Layouts for Generalizable Manipulation
The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-sca...
HuggingFace
NVIDIA-labs OO Agents: Native Python Object-Oriented Agents
Traditional agent development is split across prompt templates, tool schemas, callback code, and workflow graphs. We ...
HuggingFace
Predictive Divergence Masks for LLM RL
Reinforcement learning for large language models (LLMs) typically relies on trust-region masks to stabilize off-polic...
HuggingFace
Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction
We introduce Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents; this report documents its co...
HuggingFace
GraphVid: Interactive Graph-Controllable Video Generation
Controllable video generation remains challenging due to the difficulty of specifying precise multi-object interactio...
HuggingFace
AREX: Towards a Recursively Self-Improving Agent for Deep Research
Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is ...
HuggingFace
ReferTrack: Referring Then Tracking for Embodied Visual Tracking
Embodied visual tracking (EVT) requires a mobile agent to continuously follow a specific target described in natural ...
HuggingFace
Robostral Navigate
Deploying navigation systems at scale requires a recipe that minimizes sensor assumptions, generalizes across robot e...
HuggingFace
Visual Contrastive Self-Distillation
On-policy self-distillation (OPSD) is promising as it removes the external teacher required by on-policy distillation...
HuggingFace
Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation
We study sinusoidal recurrence as an iterative mechanism for harmonic spectral enrichment in implicit neural represen...
HuggingFace
Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
Spatial intelligence is essential for agents to move from static semantic understanding toward interacting with the p...
HuggingFace
LLMs Get Lost in Evolving User Intent
As LLMs become more capable, they are increasingly deployed as collaborative agents, taking on user-delegated tasks t...
HuggingFace
Color Pass-Through via Camera-Display Coupling
When a real-world scene is captured by a smartphone camera and viewed on its screen, the displayed image often differ...
HuggingFace
Sample-Efficient Learning from Agent Experience
Real-world agent learning is often constrained by costly environment interactions, such as running time-consuming exp...
HuggingFace
K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam question answ...
HuggingFace
SLAM in Low-Light Environments: Project Report
Simultaneous localization and mapping (SLAM) is one of the fundamental problems in robotics, as it enables autonomous...
HuggingFace
Moving Alphabet: A Controlled Study of Training Data for Text-to-Video Generation
Text-to-video generation has advanced significantly over the past five years through scaling of model size, data, and...
HuggingFace
Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices
Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of conventional neural ...
HuggingFace
ENTRAP-VL: A Taxonomic Probe for Dual Contextual Entrainment in Vision-Language Models
Contextual entrainment is the tendency of a model to let auxiliary context in its input pull its output, independentl...
arXiv
The Ethics of Autonomous AI Agents for Offensive Security
LLM-driven autonomous agents are reshaping offensive security. Unlike traditional penetration-testing tooling -- dete...
arXiv
The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models
Large-scale pretrained language models such as T5 and BERT have demonstrated strong capabilities for generating struc...
arXiv
PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires...
arXiv
Self-supervision drives representational convergence in medical foundation models more than clinical supervision
Medical image encoders from different groups are increasingly treated as interchangeable, on the assumption that scal...
arXiv
Sound Probabilistic Safety Bounds for Large Language Models
We propose a novel framework for computing rigorous bounds on the probability that a large language model (LLM) gener...
arXiv
Courteous Anticipation: Improving Long-Lived Task Planning in Persistent Shared Environments
We consider a task planning scenario in which robots sharing a persistent environment are assigned tasks one at a tim...
arXiv
Don't Trust the Label: License Laundering in AI Supply Chains
AI artifacts move through a multi-platform supply chain, spanning datasets and models on Hugging Face and application...
arXiv
Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout
RGB-D semantic segmentation has achieved remarkable progress, yet most models assume that RGB and depth are always av...
arXiv
Understanding Generative AI-mediated User Engagement with Academic Library Resources
This study empirically analyzed generative AI as an emerging discovery pathway to academic library resources. Utilizi...
arXiv
Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids
Closing the gap between benchmark performance and reliable real-world operation remains a central challenge for Visio...
arXiv
Generative AI floods and dilutes the market for books
Generative AI can produce book-length works of fiction at near-zero cost. These books are often dismissed as low-qual...
arXiv
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations
Natural-language autoencoders score explanations of hidden activations by reconstruction: an explanation is deemed fa...
arXiv
FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
Clinical biomarker workflows in translational research settings often rely on spreadsheet-driven tracking, manual qua...
arXiv
Persian Pixel: A large-scale synthetic OCR dataset for Persian language
Optical Character Recognition (OCR) for Persian remains substantially less mature than for Latin-script languages des...
arXiv
SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data
In many reasoning problems, the premises are not observed as discrete symbols, but must be inferred from high-dimensi...
HuggingFace
Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model
Large language models can answer scientific questions, yet a correct output does not reveal whether the model represe...
HuggingFace
ATSplat: Compact Feed-forward 3D Gaussian Splatting with Adaptive Token Expansion
3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis by optimizing freely placed primitives in 3D ...
HuggingFace
SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments
Practical robotic grasping in complex scenes requires both 3D spatial reasoning and alignment with task-specific requ...
HuggingFace
G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
This work introduces G-MAD, an open-source framework that uses Arma3 to generate synchronized multi-view RGB-T data f...
HuggingFace
SLPO: Scaling Latent Reasoning via a Surrogate Policy
Reinforcement learning with verifiable rewards has become the predominant recipe for eliciting test-time scaling in e...
HuggingFace
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges fo...
HuggingFace
Beyond Relevance-Centric Retrieval: Rubric-Oriented Document Set Selection and Ranking
As large language models and AI agents become the primary consumers of search results, document set quality determine...
HuggingFace
Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment
Finetuning a pretrained vision-language model (VLM) on robot demonstrations via behavior cloning (BC) has become the ...
HuggingFace
Self Gradient Forcing: Native Long Video Extrapolation
Recent autoregressive video diffusion methods are increasingly built upon Self Forcing, where the student is trained ...
HuggingFace
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
Reinforcement learning (RL) has become a dominant paradigm for enhancing LLMs' reasoning capabilities. However, RL al...
HuggingFace
Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning
Reinforcement learning with verifiable rewards (RLVR) has substantially improved language-model reasoning, yet its ex...
HuggingFace
FVAttn: Adaptive Sparse Attention with Runtime Load Balancing for Video Generation
Video Diffusion Transformers process long spatio-temporal sequences, making self-attention the main bottleneck in hig...
HuggingFace
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations
Natural-language autoencoders score explanations of hidden activations by reconstruction: an explanation is deemed fa...
HuggingFace
An Exam for Active Observers
Human vision is a closed loop: gaze is continuously redirected by intermediate hypotheses rather than a single snapsh...
HuggingFace
Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models
Injecting factual knowledge into large language models (LLMs) reliably and at scale remains an open challenge. Hypern...
HuggingFace
DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations
As autonomous agents rapidly evolve, their ability to reliably manipulate ubiquitous digital documents has become cri...
HuggingFace
Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
Modern ASR models trained on heterogeneously annotated data treat transcription style (verbatim vs. intended) as an u...
HuggingFace
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
Diffusion Language Models (DLMs) have recently emerged as a promising alternative to autoregressive models. Unlike st...
HuggingFace
AutoIndex: Learning Representation Programs for Retrieval
We present AutoIndex, a framework for learning representation programs: executable transformations that map raw docum...
arXiv
GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models
The Traffic Assignment Problem is a fundamental but computationally expensive component of transportation planning. W...
arXiv
The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems
Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic m...
arXiv
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes
This paper is a practitioner guide to graph-based workflow pathways for long-running, stateful, multi-step generative...
arXiv
LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior
As LLM adoption becomes more widespread, there is a growing interest in detecting LLM-generated content, for example ...
arXiv
Riemannian Deep Learning:Modules, Networks, and Geometries
Deep neural networks on manifold-valued representations have attracted growing interest, but many basic components re...
arXiv
From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan sa...
arXiv
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information
Reinforcement learning with verifiable rewards (RLVR) improves reasoning in large language models. Yet, typical RLVR ...
arXiv
ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D
As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the...
arXiv
Associative Emotional Learning in Convolutional Neural Networks
Associative emotional learning enables organisms to adaptively link pleasant or unpleasant outcomes to the presence o...
arXiv
ISO: An RLVR-Native Optimization Stack
Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of language mod...
arXiv
Provable diffusion-based posterior sampling for linear inverse problems via DDIM
Diffusion-based methods have achieved remarkable empirical success in solving inverse problems. However, many existin...
arXiv
Agents in the Wild: Where Research Meets Deployment
Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting, and coordinati...
arXiv
CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents
Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rat...
arXiv
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
Controllable image generation remains challenging for creative professionals, who often require precise regional cont...
arXiv
Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning
Large language models that generate step-by-step reasoning traces have achieved strong performance on complex tasks, ...
HuggingFace
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
Controllable image generation remains challenging for creative professionals, who often require precise regional cont...
HuggingFace
Masked Visual Actions for Unified World Modeling
Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making them prom...
HuggingFace
ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning
Video spatial reasoning is essential for navigation-oriented perception and long-video question answering, where mode...
HuggingFace
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
Large-scale visual generators are increasingly capable but costly to train, fine-tune, and deploy. We introduce Mage-...
HuggingFace
SciForma: Structure-Faithful Generation of Scientific Diagrams
Structural fidelity is essential to scientific methodology diagrams. To communicate research logic, these diagrams mu...
HuggingFace
Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning
Asynchronous reinforcement learning improves throughput by decoupling rollout generation from optimization, but stale...
HuggingFace
DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
Large language models (LLMs) are increasingly used to automate data-processing workflows, yet coding agents typically...
HuggingFace
AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report
Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, animation...
HuggingFace
Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness
Evaluating the factuality of long-form generations has focused predominantly on precision, measuring whether the clai...
HuggingFace
HPD-Parsing: Hierarchical Parallel Document Parsing
Efficient teamwork typically combines global coordination with parallel execution, a principle not yet fully reflecte...
HuggingFace
Trajectory-aware Cross-view Geo-localization with Sequential Observations
Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent methods sh...
HuggingFace
ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU
We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction,...
HuggingFace
ISO: An RLVR-Native Optimization Stack
Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of language mod...
HuggingFace
Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers
Text-to-image diffusion transformers (DiTs) jointly process text and image tokens, yet their internal computation dur...
HuggingFace
AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
LLM agent failures are difficult to debug because the step where an error surfaces is often not the one that caused i...
HuggingFace
Generative World Renderer at the Speed of Play
Generative world renderer AlayaRenderer receives structured world states exported from physics engines and synthesize...
HuggingFace
EduPanel: A Three-Agent LLM Judge for Teaching Videos -- Reliability, Complementarity, and Human Trust Calibration
Teaching videos are becoming a major medium for education, creating a growing need for scalable evaluation of their p...
HuggingFace
Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training
Optimizer state is the largest single line item in the memory budget of mixture-of-experts (MoE) training: on a 6.78B...
HuggingFace
Delineate Anything v2: A Global Foundation Model for Field Delineation
Accurate agricultural field boundary delineation at large scale is a foundational task for food security, supply chai...
HuggingFace
Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges
Multimodal humor in memes, cartoons, and comics remains difficult for AI systems because intended meaning depends on ...
HuggingFace
Can Multimodal Large Language Models Understand OCT?
Optical coherence tomography (OCT) imaging is essential for the diagnosis and treatment of retinal diseases. Although...
HuggingFace
ShotPlan: Cinematic Video Generation with Learnable Planning Token
Current video generation models achieve impressive results in single-shot generation, yet remain limited in cinematic...
HuggingFace
Diagnosing and Calibrating Tool-Call Boundary Drift in Multi-Teacher On-Policy Distillation
Agentic language models must learn when to call tools, when to consume tool responses, and when to answer directly. T...
HuggingFace
Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning
Egocentric videos of human manipulation provide scalable supervision for embodied intelligence, yet existing resource...
HuggingFace
Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints
Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial...
HuggingFace
ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video
Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous ...
HuggingFace
UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
Large language models (LLMs) have demonstrated growing competence in web page generation. However, existing text-driv...
HuggingFace
Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL
Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand...
HuggingFace
Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation
Multi-agent systems routinely place one AI agent in authority over another. When a subordinate refuses a task, the ma...
HuggingFace
Nonuniformity Principle in Human-AI Coworking
As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvem...
arXiv
Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering
Extended reasoning has become standard for frontier Large Language Models (LLMs), yet the trajectories these models p...
arXiv
How Does Alignment Tuning Shape Representations of Sycophancy and Related Cue-Induced Biases in LLMs?
Modern LLMs are alarmingly susceptible to surprisingly simple immaterial changes of input prompts: a casual hint, an ...
arXiv
SGA: Plug&Play Geometric Verification for Educational Video Synthesis
Recent work leverages Large Language Models (LLMs) to generate executable code for pedagogical animations using libra...
arXiv
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning
Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, whi...
arXiv
Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints
Structure-based drug design (SBDD) leverages the 3D structure of protein targets, often complemented by other spatial...
arXiv
LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications
Large language models (LLMs) and agentic AI systems have evolved from natural language tasks to using external tools ...
arXiv
Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices
Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of conventional neural ...
arXiv
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization
Coding agents are increasingly used to accelerate code generation in many downstream tasks, such as fixing bugs, buil...
arXiv
OR Else: A Differentiable Trust Region for Policy Optimization
PPO and the GRPO baseline studied here use clipped surrogate objectives whose favorable-direction saturation introduc...
arXiv
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing
Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as opera...
arXiv
Learning Adaptive Safety Margins for Visual Navigation
Robots in cluttered indoor spaces often fail not because they cannot generate collision-free paths, but because a fix...
arXiv
GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
Foundation models have emerged as a driving force in computational pathology, with the potential to transform cancer ...
arXiv
Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes
To test how correct logical judgments respond to learned context, we prepend a soft prefix to an exactly labeled syll...
arXiv
Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs
Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pi...
arXiv
Automated Discovery Has No Universally Superior Harness
Autonomous discovery systems such as OpenEvolve and TTT-Discover are often used as general-purpose harnesses. However...
HuggingFace
Group Entropy-Controlled Policy Optimization
Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), helping ...
HuggingFace
RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model
We present RynnBrain 1.1, a family of embodied foundation models spanning 2B, 9B, and 122B-A10B scales. Trained with ...
HuggingFace
OpenLongTail: Generative Scaling of Long-Tail Driving Data
Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. Whil...
HuggingFace
SWE-Pruner Pro: The Coder LLM Already Knows What to Prune
Pruning long context for coding agents has been a vital technology for efficient context management. While existing c...
HuggingFace
FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous mod...
HuggingFace
ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams
Building assistants that can continually watch the world, remember what they see, and reason over their accumulated e...
HuggingFace
HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement
Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, ex...
HuggingFace
Distilled Reinforcement Learning for LLM Post-training
Large language model (LLM) post-training is essential for improving reasoning, adaptation, and alignment. Existing me...
HuggingFace
Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift
We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training as a t...
HuggingFace
EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World
This paper introduces EvolvingWorld, a framework and benchmark for character and world co-evolution in interactive li...
HuggingFace
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs
Video multimodal large language models (MLLMs) can describe what happens in a video, but rarely identify when the sup...
HuggingFace
Apple-π: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Modern video generation models are increasingly hailed as emerging world models with an internalized grasp of physica...
HuggingFace
FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry
In line with the prevailing direction of vision research, we explore the integration of both generation and editing c...
HuggingFace
Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?
Self-hosted AI agents read and write their own memory and configuration files to function. An agent may get compromis...
HuggingFace
HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis
Hand-Object Interaction (HOI) synthesis is a cornerstone for animation production and embodied AI. Despite the strong...
HuggingFace
WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting
Predicting a football match before kickoff requires more than knowing past results: a model must use changing informa...
HuggingFace
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment
Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning relies o...
HuggingFace
GigaAM Multilingual: Foundation Model for Underrepresented Languages
Despite recent scaling successes, multilingual ASR performance remains highly uneven, with long-tail languages suffer...
HuggingFace
GigaChat Audio: Time-aware Large Audio Language Model
Temporal grounding in long recordings remains challenging for audio-conditioned LLMs. We present a time-aware audio L...
HuggingFace
The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture
We present a continuous geometric framework that models the discrete algebraic operations of the Transformer architec...
arXiv
When Model Merging Rivals Joint Multi-Task Reinforcement Learning: A Task-Vector Geometry Analysis
Model merging is promoted as a substitute for joint multi-task training, yet in the reinforcement-learning setting th...
arXiv
Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography
Retinal layer segmentation in Optical Coherence Tomography (OCT) is a fundamental step for extracting quantitative bi...
arXiv
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation towa...
arXiv
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models
The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embod...
arXiv
HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection
Multimodal sarcasm and cyberbullying detection remain challenging because the intended meaning often emerges from inc...
arXiv
DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning
Transferring policies across domains poses a vital challenge in reinforcement learning, due to the dynamics mismatch ...
arXiv
Understanding Reasoning from Pretraining to Post-Training
Reinforcement learning (RL) has become central to improving large language models (LLMs) on complex reasoning tasks, ...
arXiv
Harmonizing AI Safety Thresholds
Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third p...
arXiv
CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data
Evaluations should do more than measure a models current performance. They should tell us what to fix for the next mo...
arXiv
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance
AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time, wh...
arXiv
ToolSciVer: Multimodal Scientific Claim Verification with Visual Tool Augmented Reinforcement Learning
Multimodal Scientific Claim Verification (MSCV) requires models to verify scientific claims using visually grounded e...
arXiv
When Do Multi-Agent Systems Help? An Information Bottleneck Perspective
LLM powered multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, their advantag...
arXiv
An Exam for Active Observers
Human vision is a closed loop: gaze is continuously redirected by intermediate hypotheses rather than a single snapsh...
arXiv
When Does Muon Help Agentic Reinforcement Learning?
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-traini...
arXiv
Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities
Connected and Autonomous Vehicles (CAVs) rely on interconnected software and hardware components, including sensors, ...
HuggingFace
Cura 1T: Specialized Model for Agentic Healthcare
Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover...
HuggingFace
Recursive Harness Self-Improvement
Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating components w...
HuggingFace
xHC: Expanded Hyper-Connections
Hyper-Connections (HC) expand the residual stream of Transformers into N parallel streams, providing a form of memory...
HuggingFace
DSWorld: A Data Science World Model for Efficient Autonomous Agents
Despite strong capabilities in data understanding and decision-making, autonomous data science agents still heavily r...
HuggingFace
On-Policy Delta Distillation
On-policy distillation is an alternative post-training method in reinforcement learning that alleviates the constrain...
HuggingFace
Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
We present Xiaomi-Robotics-1, a foundational vision-language-action (VLA) model capable of (1) following diverse lang...
HuggingFace
VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders
Video generative models commonly rely on latent spaces learned by 3D Variational Autoencoders (3D-VAEs). However, con...
HuggingFace
Qwen-Music Technical Report
In this report, we introduce Qwen-Music, a powerful music generation model capable of producing highly musical and hi...
HuggingFace
RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM
Graph retrieval-augmented generation (GraphRAG) enhances large language models with structured knowledge, yet existin...
HuggingFace
S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation
We present S1-Omni, a unified multimodal reasoning model for scientific understanding, prediction, and generation. AI...
HuggingFace
When Does Muon Help Agentic Reinforcement Learning?
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-traini...
HuggingFace
Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization
Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, entropy c...
HuggingFace
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Skills are a useful abstraction for software agents, turning human and agent experience into reusable procedural know...
HuggingFace
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
Reinforcement learning from verifiable rewards (e.g. GRPO) is the engine behind today's reasoning models, yet it grad...
HuggingFace
See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models
Vision-language-action (VLA) models predict robot actions from visual observations and language instructions. These a...
HuggingFace
Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies
Autonomous negotiation agents are increasingly deployed in high-stakes settings such as insurance and procurement. Wh...
HuggingFace
REBASE: Reference-Background Subspace Elimination for Training-Free In-Context Segmentation
Training-free in-context segmentation enables new object categories to be introduced at inference time from a single ...
HuggingFace
Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark
Plasma diagnostic models for tokamak fusion devices are almost universally evaluated on clean, complete sensor data. ...
HuggingFace
SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning
We introduce Self-Verified Reasoner (SVR-R1), a multi-turn RL framework that turns a model's own verification into a ...
HuggingFace
Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing v...
GitHub
[GitHub] OpenHands/OpenHands
🙌 OpenHands: AI-Driven Development（⭐81227）
HuggingFace
On Locality and Length Generalization in Visual Reasoning
A striking feature of the human visual system is that it ingests visual information through a series of local foveate...
HuggingFace
AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling
Recent generalizable 3D Gaussian Splatting models have advanced long-sequence novel view synthesis (NVS), but at the ...
HuggingFace
SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a sin...
HuggingFace
Token Time Continuous Diffusion for Language Modeling
In this paper we introduce token time continuous diffusion (TTCD), a new diffusion language model which (a) operates ...
HuggingFace
RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We i...
HuggingFace
Hierarchical Denoising For Multi-Step Visual Reasoning
Video models are evolving into vision foundation models, yet they still lack human-like multi-step reasoning. Streami...
HuggingFace
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Validating autonomous driving systems requires diverse, regulation-compliant test scenarios. In simulation-based test...
HuggingFace
Rethinking the Evaluation of Harness Evolution for Agents
We revisit the evaluation of automatic harness evolution for LLM agents. Existing harness evolution methods use unit ...
arXiv
Subjective Risk Decomposition: A New View for Uncertainty Quantification
We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axio...
arXiv
Mask-Aware Policy Gradients for Diffusion Language Models
Reinforcement learning has proven effective for improving reasoning in large language models, but extending it to Mas...
arXiv
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems f...
arXiv
MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization
Real repository issues routinely include visual evidence such as screenshots, error dialogs, rendered UI states, and ...
arXiv
Symbal: Detecting Systematic Misalignments in Model-Generated Captions
Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misalign...
arXiv
When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk Space
Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically beni...
arXiv
In-Place Tokenizer Expansion for Pre-trained LLMs
A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflect...
arXiv
AutoSynthesis: An agentic system for automated meta-analysis
Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, ...
arXiv
teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data
Traffic agencies now have access to large volumes of video-derived data for studying safety and congestion. Most of t...
arXiv
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seekin...
arXiv
Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing v...
arXiv
SceneBind: Binding What and Where Across Vision, Audio and Language
We present SceneBind, an omni-modal representation of realistic scenes with joint semantic and 3D spatial understandi...
arXiv
Pretraining Data Can Be Poisoned through Computational Propaganda
Poisoning pretraining data can introduce harmful behaviors to LMs that are difficult to detect and mitigate. Prior wo...
arXiv
SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions
Editing the figures in a research paper is a routine and time-consuming part of everyday research practice: authors r...
arXiv
RoboTTT: Context Scaling for Robot Policies
Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-T...
HuggingFace
RoboTTT: Context Scaling for Robot Policies
Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-T...
HuggingFace
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
Large language models are increasingly trained as interactive agents for long-horizon tasks involving multi-turn inte...
HuggingFace
Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge Flywheel
We report a way to make a frozen small language model both more capable and dramatically cheaper at once, without cha...
HuggingFace
MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
MeanFlow generators achieve fast few-step sampling by predicting average velocities over time intervals, making them ...
HuggingFace
BadWAM: When World-Action Models Dream Right but Act Wrong
World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting action...
HuggingFace
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seekin...
HuggingFace
WanSong v1.0 Technical Report
Music generation foundation models have recently attracted significant industry attention. However, achieving efficie...
HuggingFace
Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes
Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks and draws together, ...
HuggingFace
Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations
On-policy distillation (OPD) has become a key paradigm in LLM post-training, yet its training dynamics remain poorly ...
HuggingFace
KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation
Video generation increasingly relies on keyframe-based workflows, where creators specify a sequence of reference imag...
HuggingFace
MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation
Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multip...
HuggingFace
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding
Recent advances in video understanding have spanned motion, long video, and streaming interaction, driving this field...
HuggingFace
DeepLoop: Depth Scaling for Looped Transformers
Looped Transformers scale sequential computation by applying a compact stack of physical blocks for multiple rounds, ...
HuggingFace
UniVR: Thinking in Visual Space for Unified Visual Reasoning
Learning broad world knowledge directly from raw visual data is a fundamental capability of intelligence. We introduc...
HuggingFace
From Pixels to States: Rethinking Interactive World Models as Game Engines
Building interactive worlds that respond coherently to player actions has long been a shared goal of computer graphic...
HuggingFace
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models
In-context learning is commonly interpreted as a form of conditional inference, in which the prompt specifies a conte...
HuggingFace
Spectral Rewiring for Exploration, Purification, and Model Merging
Reinforcement learning has become a standard post-training recipe for large language models, but dense full-parameter...
HuggingFace
GRASP: GRanularity-Aware Search Policy for Agentic RAG
Agentic retrieval-augmented generation (RAG) extends static RAG by allowing language models to iteratively reason, ge...
HuggingFace
VIABench: A Comprehensive Video Benchmark Collected from Blind Individuals for Visual Impairment Assistance
Visually impaired individuals (VIIs) encounter significant daily challenges due to limited access to visual informati...
HuggingFace
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-to...
HuggingFace
Self-Improvements in Modern Agentic Systems: A Survey
Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is control...
HuggingFace
From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World
AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide li...
HuggingFace
AffectFlow-DINO: Uncertainty-Aware Multi-Task Affect Estimation via Conditional Rectified Flow
We present AffectFlow-DINO, a multi-task learning system for the 11th ABAW challenge that extends a standard determin...
HuggingFace
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
Discrete denoising diffusion models (DDMs) have recently emerged as a compelling alternative to autoregressive (AR) m...
HuggingFace
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world...
HuggingFace
SPEAR: A Simulator for Photorealistic Embodied AI Research
Interactive simulators have become powerful tools for training embodied agents and generating synthetic visual data, ...
HuggingFace
Length Penalties Make Chain-of-Thought Less Monitorable
Length-penalized reinforcement learning can shorten chain-of-thought reasoning while hiding an influence that drives ...
HuggingFace
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Languages with rich static semantics, such as Rust, provide stronger guarantees for AI-generated code, but their stri...
arXiv
AIMO Interpretability Challenge
We propose the AIMO Interpretability Challenge, a competition on distinguishing robust from spurious reasoning in fro...
arXiv
Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
Serial verification gates are a core reliability primitive in LLM harnesses: a candidate answer is returned only if $...
arXiv
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Languages with rich static semantics, such as Rust, provide stronger guarantees for AI-generated code, but their stri...
arXiv
A Self-Evolving Agent for Longitudinal Personal Health Management
Personal health management unfolds over repeated encounters, yet most health AI systems treat each request in isolati...
arXiv
Music-to-Dance Generation via Atomic Movements
Music-driven dance generation aims to produce human motion that is both rhythmically synchronized and semantically co...
arXiv
The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce
The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradi...
arXiv
Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and...
arXiv
Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation
Penetration testing traditionally evaluates whether adversaries can exploit weaknesses in software, infrastructure, c...
arXiv
Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth
We investigate how each component of the Transformer feedforward block architecture design determines how much rank s...
arXiv
Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
With rising global energy demand and growing awareness of climate change and its impacts, the share of renewable ener...
arXiv
Early Adoption of Agentic Coding Tools by GitHub Projects
Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, ...
arXiv
Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case Study
Historical Manchu OCR must accommodate various visually distinct writing styles, including regular script, running sc...
arXiv
AI-accelerated End-to-End Framework for Rapid Professional Upskilling
By 2030, 59 of every 100 workers will need reskilling or upskilling, yet the average time to close an enterprise skil...
arXiv
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational...
arXiv
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models
The emergence of Chain-of-Thought (CoT) reasoning has significantly enhanced the ability of large language models (LL...
HuggingFace
OvisOCR2 Technical Report
We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document ...
HuggingFace
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
The capability of a modern AI agent depends not only on its foundation model but also on its harness, which construct...
HuggingFace
KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill
OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platfo...
HuggingFace
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
Reinforcement learning with verifiable rewards without human-annotated data, often referred to as zero RL, has emerge...
HuggingFace
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation
Structured pruning is a hardware-friendly way to compress LLMs, but it is mostly validated on multiple-choice recogni...
HuggingFace
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
Image guardrails are typically trained and evaluated under a fixed safety policy, implicitly treating safety as an in...
HuggingFace
GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch
World Action Models (WAMs) improve robot policy learning by jointly modeling actions and future visual observations, ...
HuggingFace
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
Current visual generation models are capable of producing high-quality content, yet they lack a coherent perception o...
HuggingFace
Tracing Agentic Failure from the Flow of Success
Failure attribution for LLM-based agentic systems, i.e., identifying which steps in a failure trajectory caused the t...
HuggingFace
From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, where a large language mo...
HuggingFace
Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
When should an intelligent assistant speak up without being asked? Continuous egocentric video offers rich, evolving ...
HuggingFace
Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D di...
HuggingFace
Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation
We introduce Boogu-Image-0.1, an open-source unified multimodal understanding and generation model family, comprising...
HuggingFace
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes...
HuggingFace
PalmClaw: A Native On-Device Agent Framework for Mobile Phones
Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling too...
HuggingFace
Registers Matter for Pixel-Space Diffusion Transformers
Vision Transformers (ViTs) are known to exhibit high-norm patch-token outliers that degrade feature map quality, a pr...
HuggingFace
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
Modern AI models achieve strong performance on many established benchmarks, yet they still fail on tasks that humans ...
HuggingFace
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Starting from the utilization of deep neural networks to approximate the state-action value function that led to winn...
HuggingFace
Towards Autonomous and Auditable Medical Imaging Model Development
Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, ...
HuggingFace
MuScriptor: An Open Model for Multi-Instrument Music Transcription
Existing methods for automatic music transcription are often limited to single-instrument recordings or fail on compl...
HuggingFace
Let RGB Be the Language of Vision
This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natura...
HuggingFace
MonkeyOCRv2: A Visual-Text Foundation Model for Document AI
Mainstream visual encoders are pretrained on natural images and cannot be effectively applied to document images with...
HuggingFace
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbound...
HuggingFace
SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
Vision language models (VLMs) have achieved strong performance on visual document understanding benchmarks such as Do...
HuggingFace
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness
Large language models fine-tuned for forecasting can be accurate yet poorly calibrated, and their chain-of-thought (C...
HuggingFace
Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models
Coding agents must integrate external tool returns into ongoing reasoning - a capability that standard left-to-right ...
HuggingFace
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
Despite the success of Vision-Language Models (VLMs), misleading charts remain a significant challenge due to their d...
HuggingFace
Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists
Existing benchmarks for scientific data analysis evaluate LLMs primarily on code execution or workflow completion, ov...
HuggingFace
MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
Multi-scene navigation (clearing an objective in one bounded space and then crossing a portal into the next) is a def...
arXiv
A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study
Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reache...
arXiv
UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies
Modern robot learning systems increasingly rely on dense progress or value signals to evaluate intermediate states, g...
arXiv
MemOps: Benchmarking Lifecycle Memory Operations in Long-Horizon Conversations
Long-term memory has become a foundational capability for LLM-based agents that accompany users across extended, mult...
arXiv
Real-time fall detection based on vision for low-power edge platforms
Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches...
arXiv
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes
In this paper, we study Reinforcement Learning in Parametrized Action Markov Decision Processes (PAMDP), where each d...
arXiv
ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark
Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interact...
arXiv
Form, Not Content? A Preregistered, Placebo-Controlled Evaluation of Learned Error-Conditioned Self-Repair Through Prompts and Weights in Frozen Small Code Models
Frozen small code LLMs are deployed locally, yet the information guiding a retry after a failed attempt is still meas...
arXiv
FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation
Math reasoning has achieved significant progress with the rapid advancement of Multimodal Large Language Models (MLLM...
arXiv
Resist and Update: Counterfactual Report Coordinates for Incentive-Compatible LLMs
Aligned language models routinely misreport under non-evidential incentive pressure: they agree with a confident user...
arXiv
Win by Silence: Deletion Non-Monotonicity, Autonomous Exploitation, and Typed-State Gating in LLM Plan Evaluation
Plan evaluators can reward a strategic plan for becoming less explicit. This paper studies that failure in a staged e...
arXiv
Dynamic Resource Allocation for Ensemble Determinization MCTS
Simulation-based algorithms are especially suited for high-uncertainty environments such as adversarial board games w...
arXiv
Audio-Native Speech Recognition with a Frozen Discrete-Diffusion Language Model
Automatic speech recognition is dominated by autoregressive decoders that emit one token at a time. We ask whether a ...
arXiv
PalmClaw: A Native On-Device Agent Framework for Mobile Phones
Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling too...
arXiv
TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
Training robust autonomous driving agents requires a simulator that is fast enough for reinforcement learning at scal...
arXiv
Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution
Large language model (LLM) agents increasingly automate multi-step engineering and informatics workflows, yet they ra...
HuggingFace
Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution
LLM-based coding agents have significantly advanced automated software issue resolution, yet they remain highly prone...
HuggingFace
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation
In this paper, we propose SpectraReward, a training-free reward function that turns pretrained MLLMs into off-the-she...
HuggingFace
Latent-Identity Tuning in Text-to-Image Personalization Models
Generating and editing a person's face demands high precision, as even minor modifications can significantly alter a ...
HuggingFace
EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos
Steerability is a defining capability of generalist robot policies, yet remains largely absent in dexterous-hand syst...
HuggingFace
Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Recent foundation image and video generation models offer strong generalization and controllability, but their direct...
HuggingFace
A Theory of Contrastive Learning with Natural Images
Why does contrastive learning with simple images and augmentations yield useful representations for downstream tasks?...
HuggingFace
MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning
Language models are increasingly used for moral decision-making across diverse linguistic and cultural contexts, yet ...
HuggingFace
Evidence-Backed Video Question Answering
Current Video Large Language Models (Video LLMs) excel in question answering (QA) but largely operate as black boxes,...
HuggingFace
Multi-Agent LLMs Fail to Explore Each Other
Exploration is essential for reliable autonomy in multi-agent systems, yet it remains unclear whether large language ...
arXiv
Active Offline-to-Online Reinforcement Learning
Background: Offline reinforcement learning (RL) enables effective policies to be trained from large, previously colle...
arXiv
Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories
Prefabricated prefinished volumetric construction moves most building work into module factories, whose production fl...
arXiv
Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement
Large language models (LLMs) are rapidly reshaping workplace communication, yet whether AI-assisted writing changes h...
arXiv
Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regula...
arXiv
StoryTeller: Training-Free Narrative Grounding for Long-Form Audio Description
Long-form audio description (AD) requires more than describing visible actions: it must preserve characters, events, ...
arXiv
Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models
Large audio-language models (LALMs) often underperform on fine-grained, non-semantic attributes of speech, such as a ...
arXiv
Introducing Human-Centeredness in AI-Assisted Lexicography
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While gen...
arXiv
MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents
We introduce MM-ToolSandBox, a benchmark and evaluation framework for visually grounded tool-calling agents. The fram...
arXiv
Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search
Neural Architecture Search (NAS) has automated the design of deep learning models but traditionally requires massive ...
arXiv
LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments
This paper presents a cascaded Low-Rank Adaptation (LoRA)-based multimodal fusion framework for action and activity r...
arXiv
Evidence-Backed Video Question Answering
Current Video Large Language Models (Video LLMs) excel in question answering (QA) but largely operate as black boxes,...
arXiv
Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias
Existing studies of LLM-as-judge scoring bias work predominantly at the input-output level: they perturb inputs, meas...
arXiv
A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
Recent work in humanoid whole-body control has found success with a simple recipe: retarget human motion to robot kin...
arXiv
Invariant Learning Dynamics of Transformers in Inductive Reasoning Tasks
We present a theoretical framework to explain the emergence of inductive reasoning abilities in Transformer language ...
arXiv
Metacognition in LLMs: Foundations, Progress, and Opportunities
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-m...
HuggingFace
ABot-N1: Toward a General Visual Language Navigation Foundation Model
Visual Language Navigation foundation models aim to unify deep reasoning for grounded spatial decisions with broad ve...
HuggingFace
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Understanding how complex cognitive functions are organized within artificial systems is central to interpreting larg...
HuggingFace
LightMem-Ego: Your AI Memory for Everyday Life
Personal AI assistants on mobile and wearable devices continuously perceive users' daily lives through visual and aud...
HuggingFace
AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification
Large language models (LLMs) have achieved remarkable performance on high-school and olympiad-style mathematics, yet ...
HuggingFace
ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory
Recent VLM and VLA systems have improved robotic perception and action prediction, yet long-horizon embodied agents s...
HuggingFace
Weak-to-Strong Generalization via Direct On-Policy Distillation
Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, bu...
HuggingFace
LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow
Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology...
HuggingFace
Motion4Motion: Motion Transfer Across Subjects at Inference
This work explores the motion transfer from one video to another, which is crucial in animation for diverse character...
HuggingFace
4D Human-Scene Reconstruction from Low-Overlap Captures
Existing volumetric capture of dynamic human performance achieves high fidelity with dense camera arrays. However, in...
HuggingFace
Metacognition in LLMs: Foundations, Progress, and Opportunities
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-m...
HuggingFace
CtrlVTON: Controllable Virtual Try-On via Visual-Instance-Prompt Segmentation
Virtual try-on (VTO) has made significant progress in realistically transferring garments onto a target person. Yet m...
HuggingFace
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
Post-training is essential for refining the domain-specific capabilities of large language models (LLMs), yet existin...
HuggingFace
MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
Medicine is inherently multimodal, requiring clinicians to synthesize information across diverse data streams. Yet th...
arXiv
Large-Scale Portfolio Optimization Problem Under Cardinality Constraint With Enhanced Multi-Objective Evolutionary Algorithms
Decision-making is posing an increasingly formidable challenge to investors because of the growing number of alternat...
arXiv
Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach
We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight ty...
arXiv
Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining
Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in whi...
arXiv
TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems
The proliferation of agentic AI systems across enterprise and public-sector contexts has outpaced the capacity of gen...
arXiv
PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers
Precision industrial contact manipulation requires reliable robot policies under pose perturbations and contact-force...
arXiv
Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse...
arXiv
Task-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026
We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Questi...
arXiv
4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception
Reliable autonomous driving requires full-scene perception that couples foreground objects with dense semantic layout...
arXiv
Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information process...
arXiv
Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection
Financial anomaly detection suffers from extreme class imbalance, causing traditional single-objective algorithms to ...
arXiv
ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI
Concept-based explainable artificial intelligence (AI) can make model reasoning more human-understandable, but concep...
arXiv
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecu...
arXiv
Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models
Vision language models (VLMs) have made remarkable progress in visual reasoning during the last decade. Most evaluati...
arXiv
Scalable Visual Pretraining for Language Intelligence
The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpor...
arXiv
PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis
Current electroencephalography (EEG)-based dream detection relies on power spectral density (PSD) and statistical mom...
HuggingFace
Scalable Visual Pretraining for Language Intelligence
The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpor...
HuggingFace
A Sovereign, Open-Source Foundation Model for German and English
We present Soofi S 30B-A3B, a sovereign, open-source Mixture-of-Experts (MoE) hybrid Mamba Transformer foundation mod...
HuggingFace
Video Generation Models are General-Purpose Vision Learners
Driven by next-token prediction, NLP shifted from task-specific models into powerful generalist foundation models. Wh...
HuggingFace
Self-Guided Test-Time Training for Long-Context LLMs
Long-context processing has become increasingly important for large language models (LLMs), but simply extending the ...
HuggingFace
Trust Region Policy Distillation
Big goals are hard to achieve all at once; breaking them into small steps is wiser. We present Trust Region Policy Di...
HuggingFace
Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning
Fine-tuning LLMs to inject new knowledge faces a critical challenge: LLMs can quickly memorize new facts, yet fail to...
HuggingFace
PanoWorld: Real-World Panoramic Generation
In this work, we aim to address the challenge of long-range memory in panoramic world models by exploiting the rotati...
HuggingFace
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Large-scale text-to-image models are attractive backbones for dense prediction because RGB generation pretraining lea...
HuggingFace
Phone Segmentation and Recognition through Phonological Activation Mapping
Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separatel...
HuggingFace
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
AI agents have become capable of autonomously completing short, well-specified tasks. However, existing terminal benc...
HuggingFace
KronQ: LLM Quantization via Kronecker-Factored Hessian
Post-training quantization (PTQ) is a widely adopted technique for compressing large language models (LLMs) without r...
HuggingFace
VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery
Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitizati...
HuggingFace
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks pr...
HuggingFace
A Sparse and Truncated State Vector Simulator for Peaked Circuits
In a class of quantum circuits known as peaked circuits, the goal is to predict the most probable bit string at the o...
HuggingFace
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation
Modern Video Object Segmentation (VOS) involves tracking and segmenting user-specified targets. While recent approach...
HuggingFace
PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
We introduce PAST-TIDE, our stance detection system addressing both subtasks of the StanceNakba Shared Task at NakbaN...
HuggingFace
Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, while the action ag...
arXiv
WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search
Large language model (LLM)-based web search agents are transforming information seeking from simple factoid question ...
arXiv
SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets
As agentic AI systems are increasingly applied to cyber-physical environments, their evaluation requires assessment o...
arXiv
A Practical Investigation of Training-free Relaxed Speculative Decoding
Speculative decoding accelerates sampling from an autoregressive LLM by using a faster auxiliary model to draft token...
arXiv
ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation
Repository-level code generation requires implementing target functions while accounting for complex cross-file depen...
arXiv
Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
In long-horizon tasks, decision-relevant state is often scattered across an expanding trajectory, while the action ag...
arXiv
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
Recent progress in 3D human pose estimation has made markerless recovery of skeletal motion increasingly accurate and...
arXiv
Validity of LLMs as data annotators: AMALIA on authority
A national language model offers a linguistic community its own instrument for measuring what its citizens say and va...
arXiv
The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs
Post-training quantization is widely used to deploy large language models in resource-constrained settings, yet its e...
arXiv
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, check...
arXiv
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
Recent advances in Vision-Language Models, Large Language Models, and Multimodal Large Language Models have improved ...
arXiv
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph
While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional embed...
arXiv
Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
In this study, we present a large-scale descriptive analysis of the use of an AI-based learning assistant (Syntea) in...
arXiv
SLORR: Simple and Efficient In-Training Low-Rank Regularization
Low-rank factorization is widely used to compress neural networks, but modern models are often not naturally amenable...
arXiv
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pie...
arXiv
OpenCoF: Learning to Reason Through Video Generation
Reasoning has become a core capability for large models, especially when reliable decisions require understanding log...
HuggingFace
OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
We propose OPSD-V, an on-policy self-distillation paradigm for post-training few-step autoregressive (AR) video diffu...
HuggingFace
OpenCoF: Learning to Reason Through Video Generation
Reasoning has become a core capability for large models, especially when reliable decisions require understanding log...
HuggingFace
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pie...
HuggingFace
Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
Modern LLMs are increasingly deployed in long-context applications such as retrieval-augmented generation, repository...
HuggingFace
ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
Generating realistic 3D human motions in real-time within interactive applications is key for animation, simulation, ...
HuggingFace
Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models
Inference-time scaling for text-to-image generation has progressed from simple Best-of-N (BoN) sampling to guided sea...
HuggingFace
Vidu S1: A Real-Time Interactive Video Generation Model
We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. ...
HuggingFace
UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma
Reinforcement learning (RL) has become the standard paradigm for enhancing the complex reasoning capabilities of larg...
HuggingFace
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
Large language models (LLMs) increasingly act as integrated data-science agents, combining abstract reasoning with ad...
HuggingFace
PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolution
Magnetic resonance imaging (MRI) super-resolution is vital for improving diagnostic accessibility, yet most methods t...
HuggingFace
CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
The growing demand for image-to-video creation on mobile devices has increasingly focused on cinematic motion effects...
HuggingFace
Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
A key challenge in Arabic NLP is the scarcity of dialectal data relative to Modern Standard Arabic (MSA), causing LLM...
HuggingFace
Video-Oasis: Rethinking Evaluation of Video Understanding
The inherent complexity of video understanding makes it difficult to determine whether Video-LLM benchmark performanc...
HuggingFace
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
The rapid development of large language models and multimodal large language models has accelerated the emergence of ...
HuggingFace
Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
Zero-Shot Compositional Action Recognition (ZS-CAR) requires recognizing novel verb-object combinations composed of p...
HuggingFace
A Quantized Native Runtime for On-Device Semantic Audio Generation
Semantic audio applications increasingly require controllable generation on commodity and embedded hardware rather th...
HuggingFace
Enhancing In-context Panoramic Generation via Geometric-aware Pretraining
In this work, we present Canvas360, a two-stage framework for in-context panoramic generation that combines geometry-...
HuggingFace
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Recovering high-quality video from sparse event streams is a challenging task. Regression methods often blur textures...
HuggingFace
DrugGen 2: A disease-aware language model for enhancing drug discovery
Current computational approaches for drug design typically focus on generating molecules conditioned on specific targ...
HuggingFace
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing
Self-attention lets each token retrieve information from the full context, but its quadratic cost in sequence length ...
HuggingFace
Automating the Design of Embodied Agent Architectures
Embodied agents are typically built as hand-designed compositions of perception, memory, planning, and action modules...
HuggingFace
Imagined Rollouts are Kinematic, Not Dynamic: A Diagnosis of Long-Horizon World-Model Failure
Long-horizon failure in world models is conventionally attributed to compounding error, a generic framing that does n...
HuggingFace
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
Linear attention models allow a fixed state size and a fixed amount of compute per token. However, due to their limit...
HuggingFace
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
Reinforcement learning (RL) is becoming increasingly important for post-training large language models (LLMs). Previo...
HuggingFace
Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs
Touch supplies the physical grounding needed to perceive intrinsic material properties, such as friction and complian...
HuggingFace
AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce ...
HuggingFace
Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
Accurate breast cancer classification from mammography requires effective integration of complementary information fr...
HuggingFace
OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies
Visual policies learned from human videos, teleoperation, and robot demonstrations offer scalable motion priors, but ...
HuggingFace
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
Pixel-wise Earth-observation (EO) foundation models are now achieving state-of-the-art performance via generated spat...
HuggingFace
RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures
Pretrained video generative models are promising backbones for visuomotor control, but their imagined futures often d...
arXiv
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis
Safety evaluation for autonomous driving is dominated by rare, safety-critical interactions, motivating simulators th...
arXiv
Towards Agentic AI Governance: A Preliminary Assessment
Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning an...
arXiv
Future Confidence Distillation in Large Language Models
Reliable confidence estimation is essential for deploying large language models (LLMs) in confidence-aware systems, w...
arXiv
QCNN with Rough Path Signature Kernels
Time series analysis plays a vital role across a wide range of scientific and engineering domains but poses substanti...
arXiv
ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation
Deep learning has significantly advanced time series imputation, yet most existing architectures primarily rely on lo...
arXiv
RL Post-Training Builds Compositional Reasoning Strategies
Does RL post-training merely amplify primitive skills already latent in a base model, or can it compose primitive ski...
arXiv
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
AI systems increasingly participate in their own improvement: revising their outputs, adapting their own harnesses du...
arXiv
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation
Large language models increasingly \emph{understand} dialectal English, yet still \emph{produce} only standard, US-le...
arXiv
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
Autonomous AI agents can execute complex tasks with limited human review, yet they often lack the grounded operationa...
arXiv
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
Reinforcement learning from verifiable rewards (e.g. GRPO) is the engine behind today's reasoning models, yet it grad...
arXiv
Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF
Reinforcement learning from human feedback (RLHF) has emerged as a powerful paradigm for aligning generative models w...
arXiv
Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety
We introduce institutional red-teaming, an evaluation methodology for testing deployment rules in multi-agent AI: hol...
arXiv
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass
Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access...
arXiv
Co-LMLM: Continuous-Query Limited Memory Language Models
Limited memory language models (LMLMs) externalize factual knowledge during pretraining to a knowledge base (KB), rat...
arXiv
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
Structure-property relationships are foundational to biology, chemistry and materials science, where function, reacti...
HuggingFace
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their prima...
HuggingFace
Infinite Worlds with Versatile Interactions
We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring...
HuggingFace
WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence
Humans can navigate an unfamiliar city and gradually form a coherent spatial mental map spanning tens of square kilom...
HuggingFace
Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation
Mainstream Vision-Language-Action (VLA) models predict actions primarily from the current observation under a Markovi...
HuggingFace
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limited in systematicall...
HuggingFace
Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Large Language Models (LLMs) unlocked new possibilities in automated code writing, becoming the backbone of most code...
HuggingFace
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
Structure-property relationships are foundational to biology, chemistry and materials science, where function, reacti...
HuggingFace
CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
Complex image creation and editing often require more than a single generation or editing model. A user request may i...
HuggingFace
Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES
Every chemical language model reading SMILES begins with a tokenizer, yet the field has inherited byte-pair encoding ...
HuggingFace
HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better
We present HunyuanOCR-1.5, a lightweight end-to-end OCR-specialized vision-language model. HunyuanOCR unifies documen...
HuggingFace
SiamJEPA: On the Role of Siamese Student Encoders in JEPA
Recently, Joint Embedding Predictive Architectures (JEPAs) have attracted significant attention in the computer visio...
HuggingFace
Rank-Then-Act: Reward-Free Control from Frame-Order Progress
We introduce Rank-Then-Act (RTA), a framework for learning control policies from expert video demonstrations without ...
HuggingFace
SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review
Coding agents increasingly generate pull requests (PRs) for real-world software issues, yet one-shot PR generation re...
HuggingFace
Attending to Multimodal Generation One Token at a Time
Multimodal large language models (MLLMs) generate responses autoregressively, integrating visual and linguistic infor...
HuggingFace
RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
We present RuleChef, a framework that uses large language models (LLMs) to generate executable rules for NLP tasks su...
HuggingFace
SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control
Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offerin...
HuggingFace
VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
Large Audio-Language Models (LALMs) are increasingly integrated into daily applications, yet their generative biases ...
HuggingFace
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little ...
HuggingFace
LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL
Reinforcement learning (RL) for non-verifiable instruction following increasingly relies on LLM judges with prompt-sp...
HuggingFace
Cross-Space Distillation: Teaching One-Step Students with Modern Diffusion Teachers
Modern one-step diffusion models achieve impressive quality through distribution-based timestep distillation. Yet, th...
HuggingFace
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications
JD.com, one of the world's largest e-commerce platforms, serves over 700 million active users and millions of merchan...
arXiv
AirflowAttack: Thermal-Airflow Adversarial Perturbations against Infrared Remote-Sensing Vision-Language Models
Vision-language models (VLMs) are increasingly deployed on infrared (IR) remote sensing imagery in security-critical ...
arXiv
Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms
The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carb...
arXiv
Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine
Live sports commentary is grounded generation under a deadline: statements concern real, named athletes, the groundin...
arXiv
Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade
Large language model (LLM) agents solving multi-step tasks frequently commit to trajectories that are doomed to fail,...
arXiv
RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
Recent years have witnessed the emergence of multivariate modeling using time series foundation models (TSFMs), which...
arXiv
Industry Classification of GitHub Repositories Using the North American Industry Classification System (NAICS)
GitHub hosts hundreds of millions of public repositories, but the platform exposes no native mapping from repositorie...
arXiv
FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games
We present FootsiesGym, an open-source environment for learning in a non-trivial two-player, zero-sum, imperfect-info...
arXiv
FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference
Long-context LLM inference is increasingly limited by the memory and bandwidth cost of KV caches, yet aggressive comp...
arXiv
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment
Vision-language models (VLMs) struggle to generalize in interactive physical reasoning, particularly under unseen tas...
arXiv
DepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression
Long-context language model inference is increasingly limited by the memory bandwidth and capacity required to store ...
arXiv
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
Multi-hop Question Answering over Knowledge Graphs faces a critical challenge: traditional retrieve-then-read pipelin...
arXiv
The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology
- Objective: Multimodal deep learning models in oncology are currently limited by monolithic designs that rigidly cou...
arXiv
Rethinking Indic AI from a Lens of Cultural Heritage Preservation
As Artificial Intelligence (AI) makes inroads into different parts of the Indian subcontinent, there is significant i...
arXiv
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
Denoising graphs is a fundamental problem in graph learning and the core operation of graph diffusion models. Attenti...
arXiv
ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
Unified 3D foundation models aspire to generate 3D assets and reason about them in language within a single backbone,...
HuggingFace
TREK: Distill to Explore, Reinforce to Refine
Group Relative Policy Optimization (GRPO) is effective when the current policy already samples useful reasoning traje...
HuggingFace
Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models
Late-interaction retrieval models that use the MaxSim similarity function have shown strong empirical performance, of...
HuggingFace
Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning
Dense video captioning aims to generate temporally grounded descriptions of video events, benefiting both event-level...
HuggingFace
Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
Recent progress in large-scale generative models has substantially advanced video generation, yet existing methods re...
HuggingFace
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
Audiovisual arts encompass diverse creative disciplines, including cinema, visual arts, stage performance, and game d...
HuggingFace
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
Speculative decoding accelerates Large Language Model (LLM) inference by decoupling draft generation from target veri...
HuggingFace
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling
Scaling modern large language models (LLMs) to long contexts is limited by the quadratic computation cost, and poor l...
HuggingFace
Layer-wise Cross-Lingual Depression Detection from Speech: Analysis with Contrastive Alignment
Significant disparities exist in the diagnosis and clinical presentation of depression across different linguistic po...
HuggingFace
CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation
Challenges remain in ego-centric 3D scene generation due to limited view overlap and the dominant influence of indivi...
HuggingFace
Vision as Unified Multimodal Generation
We formulate computer vision as unified multimodal generation, where heterogeneous visual tasks are expressed in the ...
HuggingFace
MentalThink: Shaping Thoughts in Mental SVG World
We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an executable...
HuggingFace
3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance
Hierarchical Vision-Language-Action (VLA) models decouple high-level planning from low-level control to improve gener...
HuggingFace
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
On-policy distillation (OPD) trains a student policy by matching a stronger teacher on the student's own trajectories...
HuggingFace
PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
State-of-the-art single-image 3D reconstruction methods often rely on complex hybrid architectures and loss functions...
HuggingFace
When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers
LLM agents increasingly rely on retrieval buffers to store and reuse past experience, yet the cache management polici...
HuggingFace
Gemma 4 Technical Report
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family....
HuggingFace
PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
Mathematical reasoning has become a central task for evaluating and tuning reasoning Large Language Models (LLMs), ye...
HuggingFace
Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator
Embodied navigation aims to build agents that interpret multimodal goals, reason in 3D space, and reach target destin...
HuggingFace
From Foundation to Application: Improving VLA Models in Practice
Despite recent progress of VLA foundation models, the disparity between laboratory conditions and real-world applicat...
HuggingFace
Bibby AI: An Editor-Native Agentic Platform for Academic Research, Writing, and Publishing
Academic output is produced across a fragmented toolchain: literature discovery in one application, reference managem...
HuggingFace
AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes
We present the AI Wizards submission to EXIST 2026 for multimodal sexism identification in memes. The task is compose...
HuggingFace
MANCE: Manifold Aware Concept Erasure
Concept erasure aims to remove a target concept from a representation while preserving the other information encoded ...
HuggingFace
Transition-Aware best-of-N sampling for Longitudinal Chest X-ray Reports
In longitudinal clinical practice, every chest X-ray is read in the context of the patients prior exam, and much of w...
HuggingFace
Taste-aware music retrieval from audio embeddings
Crossmodal correspondences between sound and taste are well established in psychology and neuroscience, but largely a...
HuggingFace
Unified Audio Intelligence Without Regressing on Text Intelligence
Audio intelligence involves understanding, reasoning about, and generating both audio and speech. In this work, we in...
HuggingFace
SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion
We present SynCity 3000, a framework for generating 3D scenes that are globally coherent while enabling fine-grained ...
HuggingFace
Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study
Speech-based depression detection compresses features from short audio segments into one speaker-level decision, a st...
HuggingFace
Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process
Unified multi-modal models (UMMs) have shown promising interleaved text-image reasoning capabilities, yet effectively...
HuggingFace
Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models
Vision-Language-Action (VLA) models acquire broad embodied capabilities through large-scale pretraining, yet their ge...
HuggingFace
Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (triggeri...
HuggingFace
SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference
Large language models increasingly operate over long contexts, where the KV cache becomes a dominant memory bottlenec...
HuggingFace
ACID: Action Consistency via Inverse Dynamics for Planning with World Models
Decision-time planning with action-conditioned world models has become a popular paradigm for embodied control. Howev...
HuggingFace
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems ...
arXiv
OptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement
We propose OptiAgent, a multi-agent framework that, given a natural language description of an Operations Research pr...
arXiv
Multiplayer Interactive World Models with Representation Autoencoders
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interacti...
arXiv
Selective Disclosure Watermarking for Large Language Models
Watermarking methods embed imperceptible and verifiable signals into text generated by large language models (LLMs). ...
arXiv
Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning
Planning under uncertainty in continuous domains is essential for autonomous systems, yet computationally demanding. ...
arXiv
SovereignPA-Bench: Evaluating User-Owned Personal Agents under Evolving Intent, Platform Mediation, and Consent Constraints
Personal agents are becoming persistent user-owned intermediaries: they remember preferences, filter platform-mediate...
arXiv
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing
Modern autoregressive ASR systems can emit timestamps as decoded tokens, enabling timestamped transcription without f...
arXiv
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models
Streaming speech-to-speech language models aim to answer spoken queries directly with synthetic speech. However, stan...
arXiv
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems ...
arXiv
Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle ...
arXiv
What Does a Discrete Diffusion Model Learn?
What does a discrete diffusion model learn: a denoiser, a score ratio, or a bridge plug-in predictor? At the level of...
arXiv
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbound...
arXiv
LLM-as-a-Verifier: A General-Purpose Verification Framework
Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabi...
arXiv
Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical step in automated...
arXiv
Weak-to-Strong Generalization via Direct On-Policy Distillation
Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, bu...
arXiv
From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model
Real-world robot deployment rarely maintains the training-stage camera setup, where cameras often experience repositi...
HuggingFace
Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization
Unsupervised syllabic tokenization aims to learn discrete syllabic tokens that capture latent linguistic content-rela...
HuggingFace
Vision Pretraining for Dense Spatial Perception
Dense spatial perception is essential for physical intelligence, where visual systems are expected to recover structu...
HuggingFace
UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning
Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task ex...
HuggingFace
PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space
3D reconstruction and generation are commonly tackled by separate paradigms: pixel-based regression for reconstructio...
HuggingFace
Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
Predicting object dynamics (i.e., world modeling) is a fundamental challenge for robotic manipulation, and modeling d...
HuggingFace
PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
Semi-supervised semantic segmentation (SSSS) has long turned on one question, which pseudo-labels to trust, and answe...
HuggingFace
Multiplayer Interactive World Models with Representation Autoencoders
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interacti...
HuggingFace
LLM-as-a-Verifier: A General-Purpose Verification Framework
Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabi...
HuggingFace
EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
We present EVA-Client, an open-source framework for deployment, data collection, and evaluation of trained manipulati...
HuggingFace
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
Pretraining scaling laws reveal that model capability improves predictably with data and compute. But learning from r...
HuggingFace
InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization
Unified models for robot manipulation aim to equip one policy with both the semantic priors of pretrained VLMs and th...
HuggingFace
GORGO: Online Tuning for Cross-Region Network-Aware LLM Serving
Increasingly, LLM inference services proxy client requests to engine replicas distributed globally. Load-balancing po...
HuggingFace
dOPSD: On-Policy Self-Distillation for Diffusion Language Models
Diffusion large language models (dLLMs) generate text by iteratively denoising a masked sequence, offering a parallel...
HuggingFace
OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers
Optimizer selection for large-scale model training has become a system-level design decision constrained jointly by c...
HuggingFace
Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval
Multi-vector vision-language retrieval preserves fine-grained visual evidence through maximum-similarity late interac...
HuggingFace
Perceptual Flow Matching for Few-Step Generative Modeling
We propose Perceptual Flow Matching (PFM), a simple yet effective framework for few-step generation in flow-matching ...
HuggingFace
CONFLUX: A Latent Diusion Model for 3D Chest-CT Synthesis with RL Post-Training
Controllable generative models of 3D medical images can synthesize volumes with specified clinical attributes, but th...
HuggingFace
MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing
Recent advances in video diffusion models have enabled either long single-view generation through temporal autoregres...
HuggingFace
KVpop -- Key-Value Cache Compression with Predictive Online Pruning
Key-value (KV) cache growth is a major bottleneck in autoregressive decoding, as memory and bandwidth scale linearly ...
HuggingFace
Multi-Turn Agentic Scientific Literature Search via Workflow Induction
Scientific literature search often requires more than retrieving papers from a single query: users' intents are under...
HuggingFace
AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer
Depth-of-field control is a fundamental tool in photography, yet post-capture bokeh editing from a single image remai...
HuggingFace
Generated Contents Enrichment
We study Generated Contents Enrichment (GCE), a conditional image-generation task in which a sparse scene description...
HuggingFace
Measuring the Gap Between Human and LLM Research Ideas
LLMs are increasingly used to brainstorm research ideas, but existing evaluations mostly judge individual ideas by no...
HuggingFace
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
Specialist epilepsy expertise is scarce in resource-constrained settings, making LLM-based decision support attractiv...
HuggingFace
Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots
Embodied AI models now span vision-language-action (VLA) models and world-action models (WAMs), but practical deploym...
HuggingFace
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
Reinforcement learning (RL) has gained growing attention in large language model (LLM) post-training, yet RL training...
HuggingFace
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
GraphRAG is an extension of retrieval-augmented generation (RAG) that supports large language models (LLMs) by referr...
HuggingFace
Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming
The fast growth of open-source AI infrastructure, from model serving engines and agent platforms to the Model Context...
HuggingFace
VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
Vision-Language-Action (VLA) foundation models have recently achieved strong progress in embodied intelligence. To re...
HuggingFace
MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
As grounded QA systems are increasingly deployed in AI assistants, accurately attributing generated answers to eviden...
HuggingFace
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Diffusion transformers (DiTs) achieve state-of-the-art image and video generation, but their multi-step sampling and ...
HuggingFace
Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
Cloud removal (CR) is essential for optical remote sensing, serving as a prerequisite for reliable downstream interpr...
HuggingFace
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Building performant Vision-Language Models (VLMs) requires carefully curating large-scale training datasets, yet the ...
HuggingFace
AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition
Vein recognition is a secure biometric technology often constrained by limited annotated data and imaging variations....
HuggingFace
Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span ...
HuggingFace
DuoMem: Towards Capable On-Device Memory Agents via Dual-Space Distillation
Large Language Model (LLM)-based agents can solve complex procedural tasks by interacting with environments over mult...
HuggingFace
AutoMem: Automated Learning of Memory as a Cognitive Skill
Memory expertise is a learned skill: knowing what to encode, when to retrieve, and how to organize knowledge--a capac...
HuggingFace
WARP: Weight-Space Analysis for Recovering Training Data Portfolios
Foundation models are routinely released to the public, yet the data recipes used to train them -- such as domain mix...
HuggingFace
Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
Traffic matrices (TMs) capture network-wide origin-destination demand and are central to traffic engineering, yet acc...
HuggingFace
Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions
Grid-based approaches to approximate nearest neighbor (ANN) search have been absent from modern scaling analyses. We ...
arXiv
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Diffusion transformers (DiTs) achieve state-of-the-art image and video generation, but their multi-step sampling and ...
arXiv
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
Vision-Language-Action (VLA) models are fundamentally bottlenecked by the scarcity of expert demonstrations -- triple...
arXiv
Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting
Whether pairing people with AI helps or hurts is usually reported as a single average effect. Using a real-money pred...
arXiv
TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
Software tests and code evolve together: a code change should be followed by new or updated tests that record the new...
arXiv
Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning
Visual token pruning is a crucial strategy for accelerating VLMs by compressing redundant image patches, yet existing...
arXiv
G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models
In this work, we focus on SE-RRMs, a symbol-equivariant instantiation of RRMs that exhibits improved extrapolation to...
arXiv
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
Machine learning interatomic potentials (MLIPs) have become a hallmark of AI for scientific simulation. While efforts...
arXiv
DemoPSD: Disagreement-Modulated Policy Self-Distillation
On-policy self-distillation (OPSD) has emerged as a practical method for training large language models (LLMs) to rea...
arXiv
Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas
Long-form TV dramas present a formidable challenge for comprehensive video understanding, where deciphering complex s...
arXiv
What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates
LLM agents will increasingly act in socially structured settings where role, audience, and relational context can sha...
arXiv
ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
Understanding and reasoning over long contexts has become a key requirement for deploying large language models (LLMs...
arXiv
Online Safety Monitoring for LLMs
Despite alignment training, LLMs remain prone to generating unsafe outputs at deployment time. Monitoring outputs onl...
arXiv
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repa...
arXiv
LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning
LLMs memorize sensitive training data, including personally identifiable information (PII), creating a pressing need ...
arXiv
Distributed Attacks in Persistent-State AI Control
As AI coding agents become more autonomous, they increasingly ship code iteratively, with the codebase persisting acr...
HuggingFace
AgenticDataBench: A Comprehensive Benchmark for Data Agents
Data science aims to derive actionable insights from heterogeneous raw data, unlocking the value of the massive amoun...
HuggingFace
Optimizing Visual Generative Models via Distribution-wise Rewards
Conventional reinforcement learning strategies for visual generation typically employ sample-wise reward functions, y...
HuggingFace
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repa...
HuggingFace
AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models
Vision-Language Models (VLMs) have demonstrated immense promise in Spatio-Temporal Video Grounding (STVG). However, c...
HuggingFace
Denser neq Better: Limits of On-Policy Self-Distillation for Continual Post-Training
Continual post-training enables foundation models to acquire new knowledge while preserving existing capabilities. Re...
HuggingFace
WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory
We present WorldDirector, a highly controllable video world model framework designed for persistent dynamic object me...
HuggingFace
Multi-Resolution Flow Matching: Training-Free Diffusion Acceleration via Staged Sampling
Hardware-agnostic strategies for accelerating text-to-image diffusion, such as timestep distillation and feature cach...
HuggingFace
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
Vision-Language-Action (VLA) models are fundamentally bottlenecked by the scarcity of expert demonstrations -- triple...
HuggingFace
Morphing into Hybrid Attention Models
Hybrid attention models improve long-context efficiency by retaining only a subset of full-attention layers and repla...
HuggingFace
Representation Distribution Matching for One-Step Visual Generation
We elucidate the design space of Representation Distribution Matching (RDM), our name for the paradigm that trains a ...
HuggingFace
PACE: A Proxy for Agentic Capability Evaluation
Evaluating LLM agents on benchmarks like SWE-Bench and GAIA can be expensive, time-consuming, and requires complex in...
HuggingFace
SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use
Skills are becoming a reusable operational layer for LLM agents, encoding SOPs, domain rules, tool workflows, scripts...
HuggingFace
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Search agents powered by large language models (LLMs) are increasingly used to solve complex information-seeking task...
HuggingFace
Discrete Diffusion Language Models for Interactive Radiology Report Drafting
Diffusion language models, which generate text by denoising a token canvas bidirectionally instead of emitting tokens...
HuggingFace
From SRA to Self-Flow: Data Augmentation or Self-Supervision?
Representation alignment has become an effective way to accelerate diffusion transformer training and improve generat...
HuggingFace
AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents
Memory for a long-horizon LLM agent is a contract about what each future decision is allowed to see. The simplest con...
HuggingFace
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
Autonomous agents are increasingly expected to improve executable policies through feedback, yet existing evaluations...
HuggingFace
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning
Recent multimodal large language models have shown great promise in clinical image reasoning, but existing post-train...
HuggingFace
InstanceControl: Controllable Complex Image Generation without Instance Labeling
Controllable image generation methods, such as ControlNet, have demonstrated a remarkable capacity to introduce visua...
HuggingFace
Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR
Reinforcement learning with verifiable rewards (RLVR) has been extended from single-domain training to multi-domain r...
HuggingFace
PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking
This paper explores multi-turn visual reasoning and observes that MLLMs repeatedly fail to localize the target, leadi...
HuggingFace
CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion
Blind image deblurring demands the recovery of high-fidelity details and coherent structures from complex, unknown de...
HuggingFace
SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation
While Text-to-Image (T2I) models have shown remarkable success in generating photorealistic visual content, they stil...
HuggingFace
Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation
Vision-language dataset distillation (VLDD) compresses a large image-text paired dataset into a small set of syntheti...
HuggingFace
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Repository-level performance-optimization benchmarks such as GSO, SWE-Perf and SWE-fficiency evaluate coding agents b...
HuggingFace
HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous and holistic evaluation is esse...
HuggingFace
Building to the Test: Coding Agents Deliver What You Check, Not What You Requested
Benchmarks are widely used to evaluate task completion by Large Language Models (LLMs), but this approach has accumul...
HuggingFace
When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling
People overthink; language models over-sample, and the extra effort can talk both into a worse answer. Reasoning syst...
HuggingFace
GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity
Three of the most popular methods for training language models to reason look like three different tricks. They are n...
HuggingFace
Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue
In collaborative dialogue, shared perception does not guarantee shared interpretation. Mutual understanding must be e...
arXiv
Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search
While generative models have enabled training-free reward alignment, current methods typically excel in local explora...
arXiv
Adversarial Pragmatics for AI Safety Evaluation: A Benchmark for Instruction Conflict, Embedded Commands, and Policy Ambiguity
Safety evaluations for language models increasingly depend on judgments about ambiguous natural-language behaviour: w...
arXiv
Diffusion-GR2: Diffusion Generative Reasoning Re-ranker
Generative reasoning re-rankers achieve strong recommendation accuracy by emitting a chain-of-thought before re-order...
arXiv
Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations
RL with verifiable rewards (RLVR) has emerged as a powerful paradigm for training LMs on tasks with well-defined succ...
arXiv
Optimal Resource Utilization for Autonomous Laboratory Orchestrators
In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, planning and executing th...
arXiv
World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video
We present World from Motion, a method for generating freely renderable dynamic 3D Gaussian representations from mono...
arXiv
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics
This paper studies real-time robust optimal control for uncertain nonlinear systems, where linear time-varying (LTV) ...
arXiv
Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation
Language models deployed in high-stakes roles can potentially favor certain entities, brands, or viewpoints, steering...
arXiv
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Repository-level performance-optimization benchmarks such as GSO, SWE-Perf and SWE-fficiency evaluate coding agents b...
arXiv
FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model
Current work on robot furniture assembly mostly focuses on toy-scale settings or single-arm manipulation. We introduc...
arXiv
The State-Prediction Separation Hypothesis
Transformers use the same forward computation stream to both predict the next token and store useful state for future...
arXiv
Theoria: Rewrite-Acceptability Verification over Informal Reasoning States
When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of the pr...
arXiv
AutoMem: Automated Learning of Memory as a Cognitive Skill
Memory expertise is a learned skill: knowing what to encode, when to retrieve, and how to organize knowledge--a capac...
arXiv
Language-Critique Imitation Learning from Suboptimal Demonstrations
Prior work on imitation learning from suboptimal demonstrations typically relies on compressed supervision signals su...
arXiv
Measuring the Gap Between Human and LLM Research Ideas
LLMs are increasingly used to brainstorm research ideas, but existing evaluations mostly judge individual ideas by no...
HuggingFace
Valdi: Value Diffusion World Models
World models can enable Model Predictive Control (MPC), but this requires dynamics prediction that is both fast enoug...
HuggingFace
ABot-M0.5: Unified Mobility-and-Manipulation World Action Model
Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied lear...
HuggingFace
Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts
Vision-Language-Action (VLA) models often fail to perform the same learned tasks under environmental shifts, such as ...
HuggingFace
CausalMix: Data Mixture as Causal Inference for Language Model Training
In Large Language Model (LLM) training, data mixing plays a pivotal role in determining model performance. Recent met...
HuggingFace
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
Training language models (LMs) remains a highly human-intensive process, even as frontier language model agents becom...
HuggingFace
TurboServe: Serving Streaming Video Generation Efficiently and Economically
Streaming video generation is emerging as a new serving workload in which users interact with long-lived sessions tha...
HuggingFace
Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning
Fine-grained visual reasoning remains challenging for vision-language models, especially when small but critical visu...
HuggingFace
The State-Prediction Separation Hypothesis
Transformers use the same forward computation stream to both predict the next token and store useful state for future...
HuggingFace
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
While large language models (LLMs) perform well on table tasks, they still make data referencing errors (DREs), i.e.,...
HuggingFace
MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Memory has emerged as a cornerstone of modern LLM-based agents, supporting their evolution from single-turn assistant...
HuggingFace
ASPIRE: Agentic /Skills Discovery for Robotics
Traditional robot programming is challenging: it requires orchestrating multimodal perception, managing physical cont...
HuggingFace
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our approac...
HuggingFace
ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE Serving
In prefill-decode (PD) disaggregated LLM serving, each request is assigned to a decode worker after prefill. Existing...
HuggingFace
Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning
Multimodal Large Language Models (MLLMs) are often constrained by a language-space bottleneck, forcing complex visual...
HuggingFace
NoPA: Non-Parametric Online 3D Scene Graph Generation
Classic 3D scene graph generation approaches fail to work in real-time due to the heavy computational cost of environ...
HuggingFace
PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception
We introduce PerceptionRubrics, a rubric-based evaluation framework that addresses the gap between saturated benchmar...
HuggingFace
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
Slide design requires personalizing both deck themes and page layouts. Yet, current AI agent-based methods struggle w...
HuggingFace
Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks
Lightweight machine learning models are increasingly proposed for intrusion detection in Industrial Internet of Thing...
HuggingFace
AI translation of literary texts is "fine", but readers still prefer human translations
AI translation of literary works is increasingly common. While the content may be rendered adequately, we do not know...
HuggingFace
Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination
Accelerating materials discovery requires AI systems that can generate scientifically valid hypotheses through multi-...
HuggingFace
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Procedural memory is increasingly used to improve LLM agents on recurring workplace tasks, yet its ability to produce...
HuggingFace
FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model
Spoken language models (SLMs) extend LLMs to speech input and output. Existing SLMs represent speech at fixed frame r...
HuggingFace
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
LLM agents increasingly act over long horizons, where a single trajectory can contain hundreds or thousands of action...
HuggingFace
Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature
The materials science literature encodes decades of experimental knowledge in figures, yet this visual record remains...
HuggingFace
Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing
Existing instruction-based video editing datasets commonly focus on single-task appearance editing, failing to meet t...
HuggingFace
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
Modern large language models (LLMs) rely on reinforcement learning during post-training to push specific capabilities...
HuggingFace
Lexical Consensus: Grounded Word Learning and Shared Meaning in Artificial Agents
Artificial intelligence systems are commonly evaluated through task performance and behavioral imitation, but such ev...
HuggingFace
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models
Embodied Vision-Language-Action (VLA) models are typically obtained by fine-tuning powerful pretrained VLMs on roboti...
HuggingFace
Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning
Diversity in LLM mathematical reasoning is critical for exploration, but common diversity metrics mostly capture surf...
HuggingFace
Hierarchical Experimentalist Agents
Large language models (LLMs) are increasingly used to take actions in the real world and support human decision-makin...
HuggingFace
Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
Multi-fingered robots promise the speed and dexterity of human hands, yet challenging problems such as precise assemb...
HuggingFace
SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions
We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven softwar...
HuggingFace
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
Agentic reinforcement learning requires assigning credit to environment-facing actions such as searches, clicks, edit...
HuggingFace
SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
We present a zero-shot, training-free and optimization-free framework for generating 360 panoramic images and videos ...
arXiv
LUNA: Learning Universal 3D Human Animation Beyond Skinning
Creating photorealistic, animatable 3D human avatars from monocular images still largely depends on Linear Blend Skin...
arXiv
GR2 Technical Report
Industrial recommendation systems serve billions of users through a multi-stage funnel -- retrieval, early-stage rank...
arXiv
Amplifying Membership Signal Through Chained Regeneration
The tendency of large generative models to memorize training data makes sample verification critical for privacy audi...
arXiv
Radial Suppression Accelerates Algorithmic Generalization: A Geometric Analysis of Delayed Generalization
Why do neural networks memorize algorithmic training data long before they generalize? We present a geometric case st...
arXiv
Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
Language models are increasingly taught from synthetic question--answer (QA) supervision: a model generates questions...
arXiv
PolicyGuard: From Organizational Policies to Neuro-SymbolicCompliance Review Engines
Policy-grounded document review requires determining whether a target document complies with organization-specific po...
arXiv
AxDafny: Agentic Verified Code Generation in Dafny
We study agentic code generation in Dafny, where a model must generate both executable code and the proof artifacts f...
arXiv
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
Agentic reinforcement learning requires assigning credit to environment-facing actions such as searches, clicks, edit...
arXiv
FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data
Forest attributes are essential for national-scale resource monitoring. Airborne LiDAR metrics are among the auxiliar...
arXiv
AdaJEPA: An Adaptive Latent World Model
Latent world models enable planning from high-dimensional observations by predicting future states in a compact laten...
arXiv
Freeform Preference Learning for Robotic Manipulation
Reward design remains a central bottleneck for autonomous robot policy improvement, especially in long-horizon manipu...
arXiv
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
While large language models (LLMs) perform well on table tasks, they still make data referencing errors (DREs), i.e.,...
arXiv
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Metacognition is a critical component of intelligence that describes the ability to monitor and regulate one's own co...
arXiv
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
LLM agents increasingly act over long horizons, where a single trajectory can contain hundreds or thousands of action...
arXiv
Introspective Coupling: Self-Explanation Training Tracks Behavioral Change Despite Fixed Supervision
When does training language models (LMs) to generate explanations of their predictions yield faithful introspection, ...
HuggingFace
DOPD: Dual On-policy Distillation
On-policy distillation (OPD) offers superior capacity transfer by supervising student-sampled trajectories with dense...
HuggingFace
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Would experience designing faster GPU kernels also help close in on a long-standing open mathematical conjecture? Lar...
HuggingFace
AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation
Audio-video generation has recently gained unprecedented research attention, aiming to synthesize high-quality soundi...
HuggingFace
Orca: The World is in Your Mind
We introduce Orca, an initial instantiation of a general world foundation model. Orca learns a unified world latent s...
HuggingFace
MemLearner: Learning to Query Context memory for Video World Models
Video World Models are interactive video generation models that predict future world states based on user actions and...
HuggingFace
PolyFlow: Continuous Topology Embedding Flow Matching for Artist-style Mesh Generation
Autoregressive Transformers dominate high-quality mesh generation by producing artist-worthy topologies, yet their in...
HuggingFace
Xiaomi-GUI-0 Technical Report
Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real appli...
HuggingFace
BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding
Speculative decoding accelerates inference by using a lightweight draft model to generate candidate tokens in paralle...
HuggingFace
BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
Modeling the bidirectional correspondence between external sensory stimuli and internal neural activity has emerged a...
HuggingFace
PhotoQuilt: Training-Free Arbitrary-Resolution Photomosaics via Bootstrapped Tiled Denoising
Photomosaics are large images whose local regions are seen as independent tiles while their overall arrangement forms...
HuggingFace
TerraDiT-Ω: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive
Generative models have achieved remarkable progress, yet applying them to satellite imagery remains challenging. Unli...
HuggingFace
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Metacognition is a critical component of intelligence that describes the ability to monitor and regulate one's own co...
HuggingFace
Multi-Block Diffusion Language Models
Block Diffusion Language Models (BD-LMs) improve diffusion-based text generation with KV caching and flexible-length ...
HuggingFace
Little Brains, Big Feats: Exploring Compact Language Models
While large language models have been dominating the research landscape recently, small language models remain highly...
HuggingFace
GEAR: Guided End-to-End AutoRegression for Image Synthesis
Visual generative models are typically trained in two stages. A tokenizer is first trained for reconstruction and the...
HuggingFace
RedVox: Safety and Fairness Gaps in Speech Models Across Languages
Speech-capable models are increasingly deployed in real-world applications across languages. Yet their safety and fai...
HuggingFace
Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views
A 3D scene is understood through its objects, not the primitives that compose them. Yet feed-forward reconstruction m...
HuggingFace
MuSViT: A Foundation Vision Model for Sheet Music Representation
Foundation models have transformed vision and language processing by providing rich, reusable representations that tr...
HuggingFace
DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation
Text-rich image generation is one of the most challenging settings in image generation, since models must simultaneou...
HuggingFace
SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
Agent skills extend language-model agents with task-specific procedures, scripts, and references, but the tasks and e...
HuggingFace
Beyond IID: How General Are Tabular Foundation Models, Really?
Foundation models for predictive machine learning on tabular data have recently gained significant traction in academ...
HuggingFace
Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation
The advancement of generative AI models capable of producing text and image marks a critical step forward in the real...
HuggingFace
RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation
Pre-trained Vision Foundation Models (VFMs) have become central to modern computer vision due to their powerful seman...
HuggingFace
One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models
A faithful 3D world representation should account for layered geometry, where a single camera ray may contain multipl...
HuggingFace
One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
Modern large-scale LLM pretraining benefits from utilizing Pipeline Parallelism; however, synchronous implementations...
HuggingFace
SAM2Matting: Generalized Image and Video Matting
Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-...
HuggingFace
One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications
Different real-time speech applications impose distinct latency budgets, often requiring separately trained enhanceme...
HuggingFace
A Gravitational Interpretation of Fine-Tuning Reversion
Fine-tuning on harmless data can partially undo behaviors acquired earlier in training. Safety can erode under benign...
HuggingFace
RocketSmith: Agentic Additive Manufacturing of High-Powered Rockets
RocketSmith is an agentic system which intelligently automates the DFAM process for the development of high powered r...
HuggingFace
SWE-Together: Evaluating Coding Agents in Interactive User Sessions
Most coding-agent benchmarks are static: an agent receives a complete task description up front and is judged only by...
HuggingFace
Mind the Heads: Topological Representation Alignment for Multimodal LLMs
Representation alignment has emerged as an effective approach to improve Multimodal Large Language Models (MLLMs) by ...
HuggingFace
LLM Program Optimization via Retrieval Augmented Search
Recent work has demonstrated the potential of large language models (LLMs) for program optimization, a key challenge ...
HuggingFace
Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?
Vision-Language-Action (VLA) models enable instruction-driven robotic manipulation, but they inherit oversized langua...
HuggingFace
Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement
Multi-agent large language model (LLM) systems often rely on verifier and critic agents to suppress hallucinations, b...
HuggingFace
MirrorPPR: Exemplar-Based Portrait Photo Retouching
While text-guided image editing has made remarkable progress, it remains limited in structural portrait retouching. T...
arXiv
Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing
The rapid integration of Large Language Models (LLMs) has driven the evolution of Multi-Agent Systems (MAS), where sp...
arXiv
TraceLab: Characterizing Coding Agent Workloads for LLM Serving
Coding agents are rapidly becoming a major application of agentic LLMs, but serving them efficiently remains challeng...
arXiv
The Human Creativity Benchmark
Modern AI evaluation frameworks treat evaluator disagreement as noise to be resolved. In creative domains, profession...
arXiv
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
Malware classification remains a challenging problem due to its inherent heterogeneity, the presence of packed binari...
arXiv
Beyond 2D Matching: A Unified Single-Stage Framework for Geometry-Aware Cross-View Object Geo-Localization
Cross-view object geo-localization (CVOGL) aims to locate a target object from a query view (e.g., ground or drone) w...
arXiv
Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
Researchers and practitioners increasingly apply Large Language Models (LLMs) for automated vulnerability detection. ...
arXiv
MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems
Multi-agent systems (MAS) are increasingly used to automate complex, distributed workflows. However, their inter-agen...
arXiv
C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
Sparse Autoencoders (SAEs) are widely used to interpret large language models by decomposing activations into sparse,...
arXiv
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
Contrastive embedding models trained with scale-invariant losses are typically paired with distance metrics like cosi...
arXiv
DOPD: Dual On-policy Distillation
On-policy distillation (OPD) offers superior capacity transfer by supervising student-sampled trajectories with dense...
arXiv
Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models
Conservative offline training is widely advocated as a safe foundation for subsequent online adaptation: if a policy ...
arXiv
GROW$^2$: Grounding Which and Where for Robot Tool Use
Can the robot use a plate to cut a cake if no knife is available? Tool use greatly expands robot capabilities, but to...
arXiv
Self-Evolving World Models for LLM Agent Planning
World models offer a principled way to equip long-horizon LLM agents with foresight: predictions of action consequenc...
arXiv
LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training
Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment acoustics...
arXiv
VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
Perception-based humanoid loco-manipulation requires connecting egocentric observations and task instructions to whol...
HuggingFace
PoseShield: Neural Collision Fields for Human Self-Collision Resolution
Self-collision remains a persistent challenge in SMPL-based human pose estimation and motion generation. Under extrem...
HuggingFace
One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding
MLLM-based GUI grounding methods commonly formulate target localization as autoregressive coordinate generation, enab...
HuggingFace
SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing
In real-world applications, guardrails are often expected to identify unsafe user-model interactions according to app...
HuggingFace
Walking in the Implicit: Interactive World Exploration via Neural Scene Representation
Interactive video generation systems for camera-controlled world exploration roll out growing sequences of latent vid...
HuggingFace
OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
Existing computer-use benchmarks fail to capture the realism, complexity, and long-horizon demands of real-world comp...
HuggingFace
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
As large language models and harness frameworks continue to advance, agents operating in terminals are increasingly c...
HuggingFace
Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit Dependence
Current models of representational reliability in neural populations focus on temporal stability: whether population ...
HuggingFace
DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model
We present DreamForge-World 0.1 Preview, a preview foundational world model for real-time interactive world simulatio...
HuggingFace
LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing
Streaming video editing has made rapid progress, yet practical deployment is still limited by two core issues: mainta...
HuggingFace
Trimming the Long-Tail of Visual World Modeling Evaluation
Physical interactions follow a long-tailed distribution: a set of common and regular interactions dominates human exp...
HuggingFace
Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning
Recent interest in multimodal large language models (MLLMs) raises a central question: can they reason over dynamic v...
HuggingFace
Interleaved Speech Language Models Latently Work In Text
Speech language models (SLMs) have been extensively studied, with the common paradigm incorporating text data and pre...
HuggingFace
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction
4D hand motion reconstruction from egocentric video is bottlenecked by clear limitations of existing methods: image-b...
HuggingFace
Learning Transferable Dynamics Priors from Action to World Modeling
We study action-conditioned world modeling as a scalable way to learn transferable dynamics priors for robot learning...
HuggingFace
TheoremGraph: Bridging Formal and Informal Mathematics
Mathematical knowledge is organized around statements and their dependencies, but this structure is exposed unevenly:...
HuggingFace
Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark
Generative molecular design is shaped by simple proxy benchmarks for drug-like properties and models pretrained on la...
HuggingFace
Large-Scale Tunnel Air-Ground Collaboration With FLISP: Fast LiDAR-IMU Synchronized Path Planner
Hydropower tunnel inspection is critical for infrastructure integrity yet remains inefficient and hazardous using man...
HuggingFace
ZooClaw-FashionSigLIP2: Distilled Fine-tuning for Robust Fashion Retrieval
Adapting a foundation vision-language encoder to a specialized retrieval task creates a fundamental tradeoff: gains o...
HuggingFace
Agentic Abstention: Do Agents Know When to Stop Instead of Act?
LLM agents are expected to act over multiple turns, using search, browsing interfaces, and terminal tools to complete...
HuggingFace
How Good Can Linear Models Be for Time-Series Forecasting?
Time-series forecasting research has been moving steadily toward larger architectures, from specialized transformers ...
HuggingFace
The Tatoxa System for Text Detoxification in Low-Resource Languages: The Case of Tatar
Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring...
HuggingFace
MultiHashFormer: Hash-based Generative Language Models
Language models (LMs) represent tokens using embedding matrices that scale linearly with the vocabulary size. To cons...
HuggingFace
Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving
Efficient deployment of large language models (LLMs) in production forces a trade-off between accuracy and cost. Oper...
HuggingFace
Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
Pixel-space continuous-token autoregressive (AR) generation directly models images as sequences of raw pixel patches,...
HuggingFace
MemoBench: Benchmarking World Modeling in Dynamically Changing Environments
Video generation models aspire to simulate dynamic environments, and several benchmarks now evaluate memory consisten...
HuggingFace
How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring
LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as cal...
HuggingFace
To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair
LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing...
HuggingFace
The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learne...
HuggingFace
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents
For agents to learn continuously from interaction with the world at test time, they must be able to explore effective...
HuggingFace
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
Agentic navigation systems require a base navigation model whose observation strategy can be externally reconfigured ...
HuggingFace
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
Foundation models in language and multimodality achieve strong generalization by aligning heterogeneous data under a ...
HuggingFace
Simplified Sparse Attention via Gist Tokens
Sparse attention can reduce the cost of long-context inference, but most variants introduce new architectural compone...
HuggingFace
CogniRoute: Learning to Route Social Evidence in Omni-Modal Models
Omni-modal models can ingest video, audio, and text, but unified access to multiple modalities does not guarantee tha...
HuggingFace
Vesta: A Generalist Embodied Reasoning Model
Robots operating in open-world environments must seamlessly integrate localization, spatial reasoning, navigation, an...
arXiv
LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior
Embodied agents operating in decentralized and partially observable environments have attracted growing attention in ...
arXiv
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction
Predicting human item difficulty is central to educational assessment, where reliable estimates support fairness and ...
arXiv
The Remittance Blueprint: Data-driven Intelligence for Sri Lanka
This study analyzes Sri Lankan migration and remittances over 32 years (1994-2025). Using a 384-month harmonized data...
arXiv
HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration
Extracting dynamic 4D object interactions from massive, in-the-wild monocular videos offers a highly efficient data c...
arXiv
Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives
We propose a framework for reward allocation in fully delegated AI cooperatives where humans are represented by agent...
arXiv
Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching
Flow Matching (FM) has achieved remarkable generative performance, yet it suffers from exposure bias due to discrepan...
arXiv
Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates th...
arXiv
How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks
Understanding how performance scales jointly with model size and data is a central problem in modern machine learning...
arXiv
Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation
Test-time adaptation (TTA) has emerged as a promising paradigm for mitigating distribution shifts in deep models. How...
arXiv
Agent-Native Immune System: Architecture, Taxonomy, and Engineering
The transition from static chat bots to autonomous agents--equipped with persistent memory, tool-use protocols, and m...
arXiv
Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration
Accurate network traffic prediction is a critical element for efficient resource allocation in dynamic urban cellular...
arXiv
Towards Automating Scientific Review with Google's Paper Assistant Tool
Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis gene...
arXiv
Agentic Hardware Design as Repository-Level Code Evolution
We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level code evolution. A...
arXiv
Which Nash Equilibrium? Solver-Dependent Selection on Zero-Sum Nash Polytopes
Many two-player zero-sum games admit not a unique Nash equilibrium but a convex set of them: a polytope of profiles t...
arXiv
DexCompose: Reusing Dexterous Policies for Multi-Task Manipulation with a Single Hand
Dexterous manipulation policies can solve individual skills, but composing them to perform multiple tasks with a sing...
HuggingFace
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation
Video generation models have emerged as a promising paradigm for embodied world simulation. However, both general-dom...
HuggingFace
SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
Training and evaluating robot policies in the real world is costly and difficult to scale. We introduce SimFoundry, a...
HuggingFace
Towards Automating Scientific Review with Google's Paper Assistant Tool
Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis gene...
HuggingFace
Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs
We introduce an axiomatic evaluation framework for latent thought representations in LLMs, comprising metrics that ar...
HuggingFace
Qwen-Image-2.0-RL Technical Report
We present Qwen-Image-2.0-RL, a post-training pipeline that applies reinforcement learning from human feedback (RLHF)...
HuggingFace
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning
Vision-language models (VLMs) are increasingly deployed in consumer, medical, financial, and enterprise applications....
HuggingFace
NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning
Reinforcement learning (RL) post-training improves the reward alignment of flow-based generators, but often degrades ...
HuggingFace
Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents
Web-agent benchmarks overwhelmingly measure depth -- pinning one obscure answer behind a chain of constraints -- whil...
HuggingFace
ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering
Knowledge-based Visual Question Answering (KB-VQA) requires models to combine image understanding with external knowl...
HuggingFace
Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robots
We study whether we can learn novel manipulation skills from human actions to a bi-manual robot with parallel gripper...
HuggingFace
Boundary-Aware Context Grounding for A Low-Channel EEG Agent
Large language models (LLMs) can make scientific software easier to use. However, a general model does not automatica...
HuggingFace
Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)
I describe my solution to the LeHome Challenge 2026, an ICRA 2026 competition on bimanual garment folding. The system...
HuggingFace
Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement
Vision-Language-Action (VLA) models can generalize across diverse manipulation tasks, but their imitation-learning-ba...
HuggingFace
GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems
Multi-agent systems (MAS) built on large language models (LLMs) provide a promising framework for solving complex tas...
HuggingFace
Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents
Voice agents face a fundamental tension: the reasoning, retrieval, and tool use that make foundation models capable a...
HuggingFace
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Multi-model LLM systems such as routing, voting, cascades, fusion, and mixture-of-agents are used to beat single-mode...
HuggingFace
Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments
As agentic systems continue to evolve and are widely deployed in real-world scenarios, there is a growing demand to f...
HuggingFace
LISA: Likelihood Score Alignment for Visual-condition Controllable Generation
The prevalent dual-branch paradigm, i.e., training a side network to encode visual conditions and fusing its intermed...
HuggingFace
EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting
Earth Observation (EO) forecasting aims to predict future Earth surface dynamics from satellite observations under ch...
HuggingFace
Information-Aware KV Cache Compression for Long Reasoning
Reasoning capability has advanced rapidly in large language models (LLMs), leading to an increasing size of key-value...
HuggingFace
Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents
Process reward models enable fine-grained, step-level evaluation of LLMs, yet building them for agentic settings rema...
HuggingFace
ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation
ABACUS is a unified vision-language model that handles object counting, crowd counting, referring-expression counting...
arXiv
Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts
We present a conceptual framework for analyzing dialogue in collaborative problem-solving contexts, with an emphasis ...
arXiv
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real ...
arXiv
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
Building persistent embodied agents in unstructured environments demands unified orchestration of heterogeneous tools...
arXiv
E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation
Recently, a few works have made early attempts to study test-time scaling for embodied tasks. However, two major chal...
arXiv
EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting
Earth Observation (EO) forecasting aims to predict future Earth surface dynamics from satellite observations under ch...
arXiv
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
Mechanistic epidemiological models are widely used to support infectious disease forecasting and public-health decisi...
arXiv
Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings
Large language models (LLMs) are increasingly used to screen and rank job applicants, creating incentives for candida...
arXiv
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Multi-model LLM systems such as routing, voting, cascades, fusion, and mixture-of-agents are used to beat single-mode...
arXiv
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
AI healthcare chatbots are increasingly used to support health information seeking and self-management, yet their per...
arXiv
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders
Sparse autoencoders (SAEs) have become a leading tool for interpreting the representations of vision foundation model...
arXiv
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
Multimodal web agents can assist humans in operating repetitive GUI tasks, where effective task planning is essential...
arXiv
Language-Based Digital Twins for Elderly Cognitive Assistance
Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behav...
arXiv
Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching
Entity Matching (EM) is a core operation in the data integration pipeline, where records from different sources are c...
arXiv
Error-Conditioned Neural Solvers
Neural surrogate models offer fast approximate mappings from PDE parameters to solutions, but they typically treat so...
arXiv
Autoregressive Boltzmann Generators
Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. ...
HuggingFace
GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods
With the increasing development of Vision-Language Models, it becomes imperative that their predictions are readily e...
HuggingFace
PhysiFormer: Learning to Simulate Mechanics in World Space
We present PhysiFormer, a diffusion transformer for physically-plausible 3D object motion. Unlike video world models ...
HuggingFace
DanceOPD: On-Policy Generative Field Distillation
Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), loca...
HuggingFace
Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are o...
HuggingFace
COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
While generative AI has achieved remarkable success in solving problems with verifiable solutions, generating physica...
HuggingFace
Fast LeWorldModel
Joint-Embedding Predictive Architectures (JEPAs), including recent LeWorldModel (LeWM), have become a promising found...
HuggingFace
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Outcome-based reinforcement learning provides a stable optimization backbone for language agents, but its sparse traj...
HuggingFace
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution
A unified representation for text and vision is a natural pursuit, as it enables simpler multimodal modeling and more...
HuggingFace
Confidence-Aware Tool Orchestration for Robust Video Understanding
Video reasoning language models implicitly assume that every input frame is equally reliable. This leads to what we t...
HuggingFace
In-Context World Modeling for Robotic Control
Modern Vision-Language-Action (VLA) models often fail to generalize to novel setups, such as altered camera viewpoint...
HuggingFace
OpenBioRQ: Unsolved Biomedical Research Questions for Agents
A working citation looks like proof -- but the fact that a link resolves does not mean the cited paper supports the c...
HuggingFace
Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It
Tool use enables large language models (LLMs) to perform complex tasks, and recent agentic reinforcement learning (RL...
HuggingFace
GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents
Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces...
HuggingFace
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this i...
HuggingFace
Hallucination in World Models is Predictable and Preventable
Modern generative world models render increasingly realistic action-controllable futures, yet they frequently halluci...
HuggingFace
How Post-Training Shapes Biological Reasoning Models
Scientific reasoning models for biology combine language models with foundation models trained on multimodal biologic...
HuggingFace
JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting
Speculative decoding (SD) accelerates autoregressive Large Language Models (LLMs) by drafting multiple tokens and ver...
HuggingFace
Discretizing Reward Models
Despite their widespread use, the role of reward models in shaping reinforcement learning is poorly understood. Rewar...
HuggingFace
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies
As LLM agents become capable of increasingly long-horizon tasks, evaluating their performance in economic systems is ...
HuggingFace
ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation
On-policy distillation (OPD) improves LLM reasoning by training a student model on its own generated outputs, but sta...
HuggingFace
Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation
Continual Test-Time Adaptation (CTTA) aims to maintain model performance under evolving target domains by adapting on...
HuggingFace
What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics
Jailbreak attacks reveal a persistent weakness in aligned Large Language Models: carefully crafted prompts can elicit...
HuggingFace
PrivacyAlign: Contextual Privacy Alignment for LLM Agents
AI agents acting on behalf of users are constantly making decisions, and for users to trust their agents, those decis...
HuggingFace
Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching
Recent advances in stereo matching have achieved remarkable accuracy, but often rely on large models, heavy computati...
HuggingFace
Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach
As expressive text-to-speech (TTS) and voice conversion (VC) systems increasingly generate non-verbal vocalizations (...
HuggingFace
Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents
Long-horizon agents depend on context management: systems compress, summarize, and evict old tokens so tasks can cont...
HuggingFace
Forecasting Future Behavior as a Learning Task
Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior...
HuggingFace
Do Thinking Tokens Help with Safety?
Today's reasoning models use thinking tokens to attain stronger performance on benchmarks than their instruction-tune...
HuggingFace
Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation
Video generation models are increasingly capable of producing realistic videos, but they still struggle to generate v...
arXiv
Autodata: An agentic data scientist to create high quality synthetic data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality train...
arXiv
Variable Bound Tightening for Nash Equilibrium Computation in Multiplayer Imperfect-Information Games
There has been significant recent progress in algorithms for approximation of Nash equilibrium in large two-player ze...
arXiv
Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization
We present HiReLC, a hierarchical ensemble-reinforcement learning framework for automated joint quantization and stru...
arXiv
FORCE: Efficient VLA Reinforcement Fine-Tuning via Value-Calibrated Warm-up and Self-Distillation
Vision-Language-Action (VLA) models are often constrained by the imitation ceiling imposed by sub-optimal data. While...
arXiv
Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries
Tabular foundation models are commonly assumed to present limited privacy concerns as they are often pre-trained on l...
arXiv
Can Trustless Agents Be Trusted? An Empirical Study of the ERC-8004 Decentralized AI Agent Ecosystem
As autonomous AI agents increasingly transact across organizational boundaries, a fundamental trust challenge emerges...
arXiv
TriViewBench: Controlled Complexity Scaling for Multi-View Structural Reasoning in MLLMs
Multimodal Large Language Models (MLLMs) demonstrate strong performance on standard visual question answering benchma...
arXiv
Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining
Midway through an ordinary pretraining run, a small language model learns the pronoun-gender rule: cued with a girl's...
arXiv
The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems
AI agents are granted access to tools, APIs, and other infrastructure, making them active principals in those systems...
arXiv
A welding penetration prediction model for laser welding process based on self-supervised learning using physics-informed neural networks
The laser welding full-penetration is of critical importance, as it constitutes one of the fundamental factors in ach...
arXiv
Model Forensics: Investigating Whether Concerning Behavior Reflects Misalignment
A central goal of safety research is determining whether a model is misaligned. Prior work has largely focused on det...
arXiv
A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding
Supervised deep learning has been widely used for weld penetration state classification; however, its performance oft...
arXiv
Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents
Process reward models enable fine-grained, step-level evaluation of LLMs, yet building them for agentic settings rema...
arXiv
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity
On-policy self-distillation achieves strong pass@1 accuracy by using a single model as both teacher and student, with...
arXiv
Learning Action Priors for Cross-embodiment Robot Manipulation
Most Vision-Language-Action (VLA) models build on a Vision-Language Model (VLM) backbone by attaching an action modul...
HuggingFace
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still st...
HuggingFace
Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
While Large Language Models (LLMs) have substantially advanced text-to-code synthesis, many real programming tasks sp...
HuggingFace
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models
Autoregressive video diffusion with causal diffusion transformers has emerged as a major paradigm for real-time strea...
HuggingFace
Improved Large Language Diffusion Models
Modern large language models are predominantly trained with autoregressive factorization and causal attention. We pre...
HuggingFace
RoPE-Aware Bit Allocation for KV-Cache Quantization
Existing low-bit KV-cache quantizers often treat each cached key as a flat vector. Under RoPE, however, a key's contr...
HuggingFace
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomous AI systems. ...
HuggingFace
DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation
Open domain subject-driven text-to-video (S2V) generation has drawn significant interest in academia and industry. Op...
HuggingFace
Autodata: An agentic data scientist to create high quality synthetic data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality train...
HuggingFace
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
Chain-of-Thought (CoT) has become a standard method for improving reasoning capabilities in large language models (LL...
HuggingFace
Are We Ready For An Agent-Native Memory System?
Memory for large language model (LLM) agents has rapidly evolved from simple retrieval-augmented mechanisms into a da...
HuggingFace
TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy
While Video Virtual Try-on (VVT) has achieved remarkable progress in synthesizing realistic garment overlays on dynam...
HuggingFace
EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies
We present EBench, a simulation benchmark that diagnoses generalist mobile manipulation policies beyond a single succ...
HuggingFace
V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning
Fine-grained visual reasoning requires multimodal large language models (MLLMs) to identify task-relevant visual evid...
HuggingFace
UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating
Generating a coherent multi-shot video requires structured cross-shot memory. Subject appearance, scene context, and ...
HuggingFace
When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents
As LLM agents increasingly select tools autonomously, their choices among tools with different privileges become safe...
HuggingFace
CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression
"Talk short. Drop grammar. Save token." This caveman style is widely promoted as a way to cut inference cost, but whe...
HuggingFace
RL-Index: Reinforcement Learning for Retrieval Index Reasoning
Retrieving external knowledge is essential for solving real-world tasks, yet it remains challenging when the relation...
HuggingFace
ShutterMuse: Capture-Time Photography Guidance with MLLMs
Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aestheti...
HuggingFace
MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation
Synthesizing a novel-view video from a monocular reference video along a target camera trajectory requires both geome...
HuggingFace
Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
Tool Calling and Structured Output are two core capabilities of modern Agent systems, yet their interaction under joi...
HuggingFace
ChartWalker: Benchmarking the Cross-Chart RAG Task
Cross-Chart Retrieval-Augmented Generation (RAG) is critical for complex multi-modal analytical tasks in scientific, ...
HuggingFace
AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning
Large language models are increasingly deployed as agents that reason over documents rather than answer from parametr...
HuggingFace
Semantic Browsing: Controllable Diversity for Image Generation
Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at th...
HuggingFace
Multi4D: High-Fidelity Dynamic Gaussian Splatting via Multi-Level Competitive Allocation
Dynamic 3D Gaussian splatting faces a fundamental tension between motion consistency and visual fidelity. Deformation...
HuggingFace
InSight: Self-Guided Skill Acquisition via Steerable VLAs
Vision-language-action (VLA) models can learn manipulation skills from demonstrations, but their capabilities are bou...
HuggingFace
Critique of Agent Model
What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding a...
HuggingFace
VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct
Scaling reinforcement learning for visual mathematical reasoning requires more than generating harder questions: as d...
HuggingFace
MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery
Long-term memory promises LLM agents that grow more capable across sessions, maintaining an accurate, evolving unders...
arXiv
Grad Detect: Gradient-Based Hallucination Detection in LLMs
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse tasks, yet they remain prone to...
arXiv
EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence
Recent advances in Video Large Language Models (Video-LLMs) have yielded promising performance on video question answ...
arXiv
OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis
Generic text-to-video models can be used as rich open-world scene priors. Despite the high quality of today's generat...
arXiv
Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
Quantum computers could outperform classical machines on important problems, but only if the errors that pervade quan...
arXiv
Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching
Modeling chaotic systems is crucial yet challenging. Inverse problems in chaotic dynamics, namely inferring initial c...
arXiv
Difference-Making without Making a Difference
Over a series of seven papers, Andreas & Günther have introduced seven definitions of actual causation and have class...
arXiv
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment
LLM-based dialogue assistants have become mainstream tools for software developers, yet current evaluation benchmarks...
arXiv
Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System
Agentic data analysis systems produce rich outputs, including code, numerical results, and verbal diagnostics. This m...
arXiv
Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models
Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impa...
arXiv
World Models in Pieces: Structural Certification for General Agents
In the big-world regime, agents cannot be universally capable and their ability is inevitably specialized across a wo...
arXiv
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still st...
arXiv
It's Complicated: On the Design and Evaluation of AI-Powered AAC Interfaces
Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are abl...
arXiv
OpenThoughts-Agent: Data Recipes for Agentic Models
Agentic language models dramatically expand the applications of AI yet little is publicly known about how to curate t...
arXiv
FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Sparse voxel representation has emerged as a scalable foundation for image-to-3D Gaussian Splatting (3DGS) generation...
arXiv
InSight: Self-Guided Skill Acquisition via Steerable VLAs
Vision-language-action (VLA) models can learn manipulation skills from demonstrations, but their capabilities are bou...
HuggingFace
MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization
MLLM-based mobile GUI agents have made substantial progress in UI understanding and action execution, but adapting th...
HuggingFace
FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Sparse voxel representation has emerged as a scalable foundation for image-to-3D Gaussian Splatting (3DGS) generation...
HuggingFace
OpenThoughts-Agent: Data Recipes for Agentic Models
Agentic language models dramatically expand the applications of AI yet little is publicly known about how to curate t...
HuggingFace
MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management
MLLM-based mobile GUI agents have made substantial progress on short-horizon tasks, yet remain unreliable on long-hor...
HuggingFace
Qwen-AgentWorld: Language World Models for General Agents
A world model predicts environment dynamics based on current observations and actions, serving as a core cognitive me...
HuggingFace
World Value Models for Robotic Manipulation
Generalist value models play a pivotal role in scaling robotic policy learning from large-scale, mixed-quality data. ...
HuggingFace
Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
Text-to-image (T2I) generation models have achieved remarkable progress in producing visually realistic images from n...
HuggingFace
Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
The composition of training data, governed by the diversity of sources and their mixing strategy, is a cornerstone of...
HuggingFace
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
Multimodal misinformation detection is increasingly important because viral posts now combine long multilingual narra...
HuggingFace
FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs
Training Latent Diffusion Models (LDMs) within Federated Learning (FL) has attracted increasing attention due to its ...
HuggingFace
DREAM: Dense Retrieval Embeddings via Autoregressive Modeling
Dense retrieval embedding models are a fundamental component of modern retrieval-based AI systems. Most dense retriev...
HuggingFace
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?
We introduce NatureBench, a cross-discipline benchmark of 90 tasks distilled from peer-reviewed Nature-family publica...
HuggingFace
An Efficient Method for the Optimal Control of Microgrids Under Uncertainties using Local Reduction
The problem of optimal sizing and power scheduling in microgrids subject to uncertainties is well known to the contro...
HuggingFace
FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
Multimodal driving planning faces a long-standing tension between two paradigms: scoring-based methods benefit from d...
HuggingFace
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
Experience-driven self-evolution is critical for large language model (LLM) agents to improve through open-world inte...
HuggingFace
AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction
AI agents are driving a new software paradigm, with the ability to autonomously call tools, extract information, mana...
HuggingFace
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
Generating explorable 3D scenes from a single image requires strong generative priors and accurate geometric represen...
HuggingFace
LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis
Mental disorders are highly prevalent worldwide, but the shortage of psychiatrists and the inherent subjectivity of i...
HuggingFace
EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies
Memory remains a critical bottleneck for long-horizon robotic manipulation, as standard Vision-Language-Action (VLA) ...
HuggingFace
QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
Attention-based Multiple Instance Learning aggregators in medical imaging are prone to attention concentration, produ...
HuggingFace
Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention
Self-attention is central to Transformer performance and is often the most expensive part of the Transformer at long ...
HuggingFace
Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation
Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over ...
HuggingFace
Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs
Open-weight Large Language Models (LLMs) enable scientific progress and broad deployment. However, they make it diffi...
HuggingFace
Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining
As AI labs approach a data ceiling where compute capacity outpaces the rate of new high-quality text generation, lang...
HuggingFace
Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?
Computer-use agents (CUAs) now act on a user's behalf across personal applications such as email, calendars, and to-d...
HuggingFace
Toward Parking Spot Occupancy Recognition: A Self-Supervised Approach
As urban areas expand, automatic monitoring of parking lots becomes essential for efficient and sustainable cities. T...
HuggingFace
AC-ODM: Actor--Critic Online Data Mixing for Sample-Efficient LLM Pretraining
Optimizing pretraining data composition is pivotal for LLM generalization. While dynamic mixing outperforms static st...
HuggingFace
An Exploratory Case Study of LLM-Assisted Refactoring and Gameplay Feature Generation in an Endless Runner Game
Large language models (LLMs) are increasingly used to support software development, but their practical usefulness in...
HuggingFace
Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City
As Self-Driving Cars continue to expand internationally and use multi-modal systems such as VLMs as a cognitive backb...
HuggingFace
Vera: A Layered Diffusion Model for Content-Preserving Video Editing
Video diffusion models have enabled remarkable progress in video generation and editing. However, content preservatio...
HuggingFace
A Verifiable Search Is Not a Learnable Chain-of-Thought
It is tempting to assume any task solvable by a short program can be taught to a model as its chain-of-thought: write...
HuggingFace
Libretto: Giving LLM Agents a Sense of Musical Structure
Generative music systems can now produce impressive audio from text prompts, but audio outputs are difficult to inspe...
HuggingFace
Go-with-the-Track: Video Compositing and Motion Control with Point Tracking
Filmmaking demands precise motion control and reference image compositing -- capabilities that existing methods treat...
HuggingFace
When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents
Long-horizon LLM agents can fail quietly: they settle on one reading of the evidence early, then spend the rest of th...
HuggingFace
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments
We introduce ShotcreteDepth, a bi-modal dataset from the construction domain that captures both an active shotcreting...
HuggingFace
Comparing Linear Probes with Mahalanobis Cosine Similarity
Linear probes are widely used in interpretability research and often compared by cosine similarity. The Mahalanobis c...
HuggingFace
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observatio...
HuggingFace
TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
Discrete text-trigger optimization -- searching for text sequences that, when ingested by a model, steer it toward a ...
HuggingFace
Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
Long-context reasoning is an essential capability for large language models, particularly when they are deployed as a...
arXiv
Discovering Latent Groups for Robust Classification
Machine learning models exploit spurious correlations, achieving high average accuracy but failing disproportionately...
arXiv
Data Selection Through Iterative Self-Filtering for Vision-Language Settings
The availability of large amounts of clean data is paramount to training neural networks. However, at large scales, m...
arXiv
RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models
Vision-Language-Action (VLA) models are commonly fine-tuned through passive imitation learning, where additional demo...
arXiv
DiT-Reward: Generative Representations for Text-to-Image Reward Modeling
Can representations learned for image generation also support the evaluation of generated images? We study text-to-im...
arXiv
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devic...
arXiv
AI Exposure Scores: what they measure, what they miss, and what comes next
A set of exposure scores calculated in 2023 has become a central empirical input to the future of work debate. Produc...
arXiv
Learning Process Rewards via Success Visitation Matching for Efficient RL
In many modern applications of reinforcement learning (RL), the natural reward for a task of interest is inherently s...
arXiv
TailorMind: Towards Preference-Aligned Multimodal Content Generation
Personalized content systems depend on available UGC and struggle when suitable content is absent, delayed, or costly...
arXiv
Tapered Language Models
Modern language models, including transformer, recurrent, and memory-based variants, share a common chassis: a stack ...
arXiv
Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles
This paper presents our algorithmic innovations for the NVIDIA Nemotron Model Reasoning Challenge, focusing on Bit Ma...
arXiv
PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support
Mental health assessment commonly relies on isolated screening instruments or data-driven models that often lack inte...
arXiv
Open Problem: Is AdamW Effective Under Heavy-Tailed Noise?
AdamW is the de facto optimizer for training large language models (LLMs), yet the theory behind it still lives mostl...
arXiv
AIR: Adaptive Interleaved Reasoning with Code in MLLMs
Following the paradigm shift initiated by OpenAI o3, interleaved reasoning with code to enhance multimodal large lang...
arXiv
Semantic Browsing: Controllable Diversity for Image Generation
Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at th...
arXiv
CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation
Humanoid loco-manipulation is often simplified into a stop-and-go process: walking to an object, stopping to manipula...
HuggingFace
Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views
Multi-view 3D Visual Question Answering (MV3D-VQA) requires integrating partial observations into a coherent 3D scene...
HuggingFace
Self-Compacting Language Model Agents
Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent genera...
HuggingFace
PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
Latent action pretraining learns representations of visual change from pairs of observations, but existing methods ty...
HuggingFace
Training Open Models for Agentic Phone Use
Phones are becoming an important execution surface for general-purpose agents, but training open models for reliable ...
HuggingFace
CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
While recent LLM-based terminal agents have demonstrated promising capabilities, the scarcity of high-quality, execut...
HuggingFace
Unlimited OCR Works
Recently, end-to-end OCR models, exemplified by DeepSeek OCR, have once again thrust OCR into the spotlight. A widely...
HuggingFace
FastMix: Fast Data Mixture Optimization via Gradient Descent
While large and diverse datasets have driven recent advances in large models, identifying the optimal data mixture fo...
HuggingFace
Tapered Language Models
Modern language models, including transformer, recurrent, and memory-based variants, share a common chassis: a stack ...
HuggingFace
UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation
Vision Transformers (ViT) dominate computer vision. However, their reliance on rigid patch projectors hinders transfe...
HuggingFace
Tmax: A simple recipe for terminal agents
Terminal-using agents have quickly become the most popular downstream application of language models (LMs). Despite t...
HuggingFace
DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams
Massive unstructured multimodal streams suffer from high "data entropy," impeding both efficient human knowledge acqu...
HuggingFace
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
With the rapid spread of retrieval-augmented generation and semantic search, choosing the right embedding and retriev...
HuggingFace
MeshFlow: Mesh Generation with Equivariant Flow Matching
Meshes are among the most common 3D scene representations, but directly generating meshes is challenging because the ...
HuggingFace
Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents
Long-horizon tasks are common in real-world robotic deployments, yet failure detection for such tasks remains underex...
HuggingFace
Deeper is Not Always Better: Mitigating the Alignment Tax via Confident Layer Decoding
Autoregressive generation in large language models (LLMs) conventionally decodes from the final layer, assuming that ...
HuggingFace
Improving Text-to-Music Generation with Human Preference Rewards
We describe our entry to the efficiency track of the Academic Text-to-Music (ATTM) Grand Challenge at ICME 2026. Beyo...
HuggingFace
SkillHarness: Harnessing Safe Skills for Computer-Use Agents
Computer-Use Agents (CUAs) are increasingly deployed in dynamic interactive environments, creating a growing need for...
HuggingFace
BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language
We present BioMatrix, the first multimodal foundation model that natively integrates sequences, structures, and natur...
HuggingFace
Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills
Scientific discovery workflows usually contain and rely heavily on lab notes, where researchers record observations, ...
HuggingFace
Counsel: A Meta-Evaluation Dataset for Agentic Tasks
As agentic systems tackle increasingly complex multi-step tasks, evaluating their trajectories presents a major bottl...
HuggingFace
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential setting...
HuggingFace
MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval
Retrieval-augmented generation (RAG) systems depend critically on how documents are chunked and searched. Fine-graine...
HuggingFace
SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG
Retrieval-augmented generation (RAG) systems must balance retrieval granularity with contextual coherence, a challeng...
HuggingFace
Characterizing Narrative Content in Web-scale LLM Pretraining Data
The narrative composition of web-scale LLM pretraining corpora remains largely unexplored even though narrative is a ...
HuggingFace
When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning
Medical tabular data are ubiquitous in clinical research, but deep learning for tables remains underexplored because ...
HuggingFace
PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models
Multimodal large language models (MLLMs) have achieved remarkable progress in visual understanding tasks. However, mo...
HuggingFace
WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents
To assist humans over extended periods in real homes, embodied agents must remember user routines, world states, and ...
HuggingFace
BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation
Three-dimensional (3D) brain MRI is central to clinical neurology and neuro-oncology, where generative models could a...
HuggingFace
GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents
Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workpl...
HuggingFace
Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations
In-context learning (ICL) is the standard method for low-resource classification, yet its efficacy in specialized dom...
HuggingFace
SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction
High-quality 4D head avatars from one or a few source portraits are central to telepresence, AR/VR, and digital-human...
HuggingFace
GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning
Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to pla...
HuggingFace
Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models
While reasoning on autoregressive (AR) models is often performed by chain-of-thought reasoning and reflection, their ...
HuggingFace
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
Personalized presentation generation requires more than conditioning on a current prompt or template: agents must pre...
GitHub
[GitHub] lobehub/lobehub
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and report...
GitHub
[GitHub] obra/superpowers
An agentic skills framework & software development methodology that works.（⭐234547）
arXiv
Contagion Networks: Evaluator Bias Propagation in Multi-Agent LLM Systems
When large language models serve as evaluators in multi-agent systems, their systematic evaluation biases propagate t...
arXiv
Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software
Whether LLMs scoring well on vulnerability benchmarks genuinely reason about security or merely pattern-match on cont...
arXiv
FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining
Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a c...
arXiv
What Do Safety-Aligned LLMs Learn From Mixed Compliance Demonstrations?
Prior work has shown that in-context demonstrations can jailbreak language models, but it remains unclear how models ...
arXiv
Efficient and Sound Probabilistic Verification for AI Agents
Securing AI agents that operate in complex digital environments has become a critical need, and runtime monitoring ap...
arXiv
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on cod...
arXiv
FlowEdit: Associative Memory for Lifelong Pronunciation Adaptation in Flow-Matching TTS
Flow-matching text-to-speech systems achieve remarkable zero-shot quality but remain static after deployment: pronunc...
arXiv
Sovereign Execution Brokers: Enforcing Certificate-Bound Authority in Agentic Control Planes
Autonomous agents are increasingly connected to cloud, deployment, and data-control workflows, but production mutatio...
arXiv
SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm
Multimodal foundation models have advanced rapidly thanks to large optical benchmarks, but comparable resources for s...
arXiv
DeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs
Neurosymbolic systems such as DeepProbLog combine neural perception with probabilistic logic, but standard inference ...
arXiv
LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling ...
arXiv
How Do Instructions Shape Speech? Cross-Attention Attribution for Style-Captioned Text-to-Speech
Style-captioned text-to-speech systems use natural language to control voice characteristics, but how individual word...
arXiv
Toward Calibrated Mixture-of-Experts Under Distribution Shift
Calibration aligns a model's predictive uncertainty with the frequencies of its empirical outcomes and is important f...
arXiv
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
Generative recommendation is an emerging paradigm that has shown promise in industrial recommendation systems, aiming...
arXiv
How Transparent is DiffusionGemma?
LLM reasoning transparency is a critical affordance for understanding model decisions, mitigating misuse and misalign...
HuggingFace
JanusMesh: Fast and Zero-Shot 3D Visual Illusion Generation via Cross-Space Denoising
Creating 3D visual illusions, a single 3D mesh that reveals entirely different semantics from various viewing angles,...
HuggingFace
S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence
Real-world spatial intelligence requires reasoning over a continuous and evolving 3D world, yet existing VLMs and too...
HuggingFace
Playful Agentic Robot Learning
Current agentic robot systems can write executable Code-as-Policy programs, observe feedback, and revise behavior acr...
HuggingFace
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Advances in radiance fields have enabled photorealistic novel view synthesis. In several domains, large-scale real-wo...
HuggingFace
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
Embodied foundation models are expected to benefit from data scaling like large language models, but face a much tigh...
HuggingFace
DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects
Dexterous interaction with articulated objects is important for household, assistive, and humanoid manipulation, wher...
HuggingFace
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows
Conditional diffusion and flow models routinely fail to satisfy the very constraints that define their task. For inst...
HuggingFace
Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation
Hybrid linear attention models offer an appealing path to faster long-context inference: they reduce the quadratic co...
HuggingFace
No Resource, No Benchmarks, No Problem? Evaluating and Improving LLMs for Code Generation in No-Resource Languages
Large Language Models (LLMs) have significantly advanced the automation of software engineering tasks. One prominent ...
HuggingFace
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on cod...
HuggingFace
Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe
FP4 training promises substantial reductions in memory and computation cost for LLM pretraining, yet current FP4 hard...
HuggingFace
Duration Aware Scheduling for ASR Serving Under Workload Drift
Scheduling policies in large-scale Automatic Speech Recognition (ASR) serving pipelines play a key role in determinin...
HuggingFace
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation
The Frechet Inception Distance (FID) is the de facto arbiter of image generation, yet most papers report just a singl...
HuggingFace
The Data Manifold under the Microscope
A significant gap exists between theory and practice in deep learning. Generalization and approximation error bounds ...
HuggingFace
Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why
Patient contexts span hundreds of heterogeneous documents and thousands of structured data points, yet the document-l...
HuggingFace
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI
AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but this average c...
HuggingFace
ReSyn: A Generalized Recursive Regular Expression Synthesis Framework
Existing Programming-By-Example (PBE) systems often rely on simplified benchmarks that fail to capture the high struc...
HuggingFace
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequ...
HuggingFace
Context-Aware RL for Agentic and Multimodal LLMs
Large language models (LLMs) often fail when answering requires identifying a small but decisive piece of evidence wi...
HuggingFace
LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling ...
GitHub
[GitHub] pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration（⭐100863）
HuggingFace
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning an...
HuggingFace
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environmen...
HuggingFace
Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish
Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language mode...
HuggingFace
STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradi...
HuggingFace
LLM-Enabled NWDAF: A Step Toward AI-Native 6G Network Intelligence
The Network Data Analytics Function (NWDAF) is central to enabling zero-touch network management in fifth-generation ...
HuggingFace
A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
Predictive code completion greatly accelerates how quickly developers work. In spreadsheets, despite being much more ...
HuggingFace
RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents
Multi-turn tool-use RL is bottlenecked by the rapid depletion of informative samples in static datasets. We observe t...
HuggingFace
MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents
Current benchmarks for computer-use agents evaluate models in impersonal environments. This leaves a gap between eval...
HuggingFace
iOSWorld: A Benchmark for Personally Intelligent Phone Agents
A useful phone agent needs to be personally intelligent. It should reason over a user's identity, history, and prefer...
HuggingFace
Bag of Dims: Training-Free Mechanistic Interpretability via Dimension-Level Sign Patterns
We show the standard basis of transformer hidden states already provides a training-free, architecture-general featur...
HuggingFace
ViT-Up: Faithful Feature Upsampling for Vision Transformers
Vision Transformers (ViTs) have become a dominant architecture for visual representation learning, providing exceptio...
HuggingFace
MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction
Motion forecasting is central to visual intelligence: agents must anticipate how objects will move in order to plan a...
HuggingFace
Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation
On-policy self-distillation (OPSD) trains a model on its own rollouts and uses a frozen copy to provide dense token-l...
HuggingFace
MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model
As an increasing majority of global video content is consumed on social platforms for interactive social purposes, vi...
HuggingFace
The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL
Score- and flow-matching models often rely on preference-based reinforcement learning for two purposes: aligning with...
HuggingFace
HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing
Creative image editing tools, such as Photoshop's Remove or Generative Fill buttons, are central to everyday customer...
HuggingFace
When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?
Offline reinforcement learning is typically analyzed under process-level reward supervision, yet many sequential deci...
HuggingFace
Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities
Robotic systems perceive the world through multiple input modalities -- including visual camera streams and natural l...
HuggingFace
Re-Centering Humans in LLM Personalization
Despite growing interest, most evaluations of large language models' (LLMs') personalization abilities have relied on...
HuggingFace
REVES: REvision and VErification--Augmented Training for Test-Time Scaling
Test-time scaling via sequential revision has emerged as a powerful paradigm for enhancing Large Language Model (LLM)...
arXiv
Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning
We propose MAST (Mechanism-Aligned Selective Targeting), a mechanism-guided method for unlearning RLVR-induced reason...
arXiv
STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradi...
arXiv
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-m...
arXiv
A Taxonomy of Mental Health and Technology Needs for Alzheimer's and Dementia Caregivers
Family members caring for individuals with Alzheimer's disease and related dementias (AD/ADRD) provide the foundation...
arXiv
OneCanvas: 3D Scene Understanding via Panoramic Reprojection
Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific...
arXiv
X+Slides: Benchmarking Audience-Conditioned Slide Generation
Automatically generating slide decks from source documents is an important application of large language models (LLMs...
arXiv
A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2
Text-rich images often contain privacy-sensitive, transactional, or decision-relevant information. As recent multimod...
arXiv
Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA
The development of large language models (LLMs) has led to an increased focus on their adaptation to specialized doma...
arXiv
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning
Neurosymbolic semantics is fragmented: classical, fuzzy, probabilistic and neural systems each define truth by their ...
arXiv
Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots
When social chatbots make mistakes, and they do, how they recover determines whether users trust them again. Social c...
arXiv
Explaining Attention with Program Synthesis
A longstanding goal of research on interpretable deep learning is to replace opaque neural computations with human-me...
arXiv
Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents
Production data integration is bottlenecked by repeated, lossy handoffs between data owners, engineers, and analysts ...
arXiv
Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors
Existing multi-speaker dialogue systems bind speakers to utterances through structured supervision: per-turn tags, mu...
arXiv
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
Post-training of reasoning language models is commonly driven by supervised distillation and reinforcement learning w...
arXiv
UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning
Preference-based RL provides an approach to learning reward models from pairwise comparisons of behaviors, bypassing ...
HuggingFace
Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems
Multi-agent LLM systems share state through memory stores, vector indices, and tool registries. We model such sharing...
HuggingFace
Self-Evolving Visual Questioner
Vision-language models (VLMs) are typically trained as passive answerers, while their ability to actively ask diverse...
HuggingFace
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
Vision encoders for retrieval are typically trained with class-label supervision: each training pair reduces to a sca...
HuggingFace
Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences
In this report, we present LOGOS (Language Of Generative Objects in Science), a scientific generative language model ...
HuggingFace
Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games
Deploying multimodal foundation models as closed-loop policies increasingly requires conditioning actions on observat...
HuggingFace
Guava: An Effective and Universal Harness for Embodied Manipulation
Language models trained on large-scale vision-language data have demonstrated strong potential for embodied agents. H...
HuggingFace
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ide...
HuggingFace
CEO-Bench: Can Agents Play the Long Game?
Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering...
HuggingFace
Physics-IQ Verified
Video generative models ( VGMs) have become a new frontier that can be used not just for video generation but for a m...
HuggingFace
PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation
World foundation models (WFMs) are powerful simulators, yet they predominantly operate in a single-view setting and l...
HuggingFace
Learning User Simulators with Turing Rewards
Learning to simulate human users in interactive settings could advance the training of agent assistants, evaluation o...
HuggingFace
Kairos: A Native World Model Stack for Physical AI
World models are transitioning from passive visual generators to foundational, operational infrastructure for Physica...
HuggingFace
IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products
Industrial products such as valves and circuit breakers are defined by dense technical specifications that govern pro...
HuggingFace
Sumi: Open Uniform Diffusion Language Model from Scratch
Diffusion models have become a promising alternative to autoregressive models. Among these, uniform diffusion languag...
HuggingFace
Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding
Graphical user interface (GUI) grounding requires vision-language models (VLMs) to identify small target elements in ...
HuggingFace
SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior
Sparse Autoencoders (SAEs) decompose residual-stream activations into interpretable features. Recent latent-space def...
HuggingFace
Reinforcing Dual-Path Reasoning in Spatial Vision Language Models
Spatial VLMs have made substantial progress in geometric perception, yet complex spatial reasoning requiring multi-st...
HuggingFace
Native Active Perception as Reasoning for Omni-Modal Understanding
Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly ...
HuggingFace
SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks
Frontier scientific reasoning remains a major challenge for large language models (LLMs), where even the strongest co...
HuggingFace
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Multicultural multi-agent systems are increasingly deployed in globally diverse settings, where different agents are ...
arXiv
ReAge3D: Re-Aging 3D Faces with View Consistency
We present a novel framework for realistic and controllable 3D face re-aging which produces highly detailed, identity...
arXiv
The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act
Large language models now produce legal text of at least median quality, yet no existing benchmark can evaluate wheth...
arXiv
All Smoke, No Alarm: Oracle Signals in Agent-Authored Test Code
Software practitioners increasingly use AI coding agents that generate test code alongside production code in open so...
arXiv
IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction
Illegal, unreported, and unregulated fishing (IUU) traditionally refers to fishing activities that violate applicable...
arXiv
Kolmogorov Regression for Robust Diffusion Policies
Finite-dimensional (FD) diffusion policies exhibit temporal drift owing to discretization artifacts that degrade long...
arXiv
DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction
Deep research (DR) systems are increasingly used for complex information-seeking tasks, but existing works mainly foc...
arXiv
The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
As high-quality public web corpora become increasingly exhausted, clean long-context documents have become a scarce a...
arXiv
A Red-Team Study of Anthropic Fable 5 & Opus 4.8 Models
We evaluate the adversarial robustness of two frontier large language models (LLMs) developed by Anthropic, Fable 5 a...
arXiv
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
The LLM-empowered personal health agents with user health (sensor) metrics have offered a promising pathway to allevi...
arXiv
Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
Looped architectures provide an inductive bias toward learning step-by-step procedures for tasks that require composi...
arXiv
Looped World Models
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deepe...
arXiv
Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber Agents
With sophisticated cyber-attacks becoming increasingly prevalent, modern networks require intelligent autonomous cybe...
arXiv
EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation
Zero-Shot Object-Goal Navigation (ZS-OGN) requires embodied agents to explore and locate target objects without any p...
arXiv
ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues
Reproducing research results from papers and released code is central to scientific progress. Existing works have int...
arXiv
Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement
Robots deployed in the real world should learn from their experience and improve over time. This requires a mechanism...
HuggingFace
Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification
Unified Multimodal Modeling aims to integrate visual understanding and generation within a single system. However, ex...
HuggingFace
LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
Effective personalized AI-assisted learning demands systems that can not only generate accurate learner-specific educ...
HuggingFace
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Clinical early warning systems built on electronic health records, in which clinical observations are recorded as irr...
HuggingFace
Looped World Models
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deepe...
HuggingFace
ActWorld: From Explorable to Interactive World Model via Action-Aware Memory
Interactive world models aim to simulate environment dynamics under real-time user actions. However, their action voc...
HuggingFace
GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
Game generation is an emerging application of coding agents, requiring models to transform natural-language specifica...
HuggingFace
A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization
Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning, but GRPO-style optimization ...
HuggingFace
Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus
Deep research agents are increasingly evaluated on their ability to search for evidence, reason over retrieved source...
HuggingFace
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation
Memory has become a standard substrate for self-evolving agents, yet retaining experience is not the same as learning...
HuggingFace
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
Knowledge distillation transfers a teacher's competence to a small student but is brittle in the small-student regime...
HuggingFace
LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
Looped Transformers scale latent computation by repeatedly applying shared blocks, but sequential looping increases l...
HuggingFace
ProCUA-SFT Technical Report
Training computer-use agents (CUAs) -- models that interact with graphical desktops through screenshots and keyboard/...
HuggingFace
Variable-Width Transformers
Scaling model size, specifically depth and width, has driven significant progress in transformer-based language model...
HuggingFace
ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining
Vision-Language-Action (VLA) models benefit from large-scale and diverse embodied data, yet scaling robot trajectory ...
HuggingFace
Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space Diffusion
Pixel-space diffusion models are trained on full-bandwidth noisy images, yet the useful signal available to the denoi...
HuggingFace
MotionVLA: Vision-Language-Action Model for Humanoid Motion
Generating realistic humanoid motion from scene images and text involves both low-frequency pose semantics and high-f...
HuggingFace
ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions
Large language models perform increasingly well on standardized logical reasoning benchmarks, but whether this abilit...
HuggingFace
Rethinking the Role of Efficient Attention in Hybrid Architectures
Modern language models increasingly adopt hybrid architectures that combine full attention with efficient attention m...
HuggingFace
Learning from the Self-future: On-policy Self-distillation for dLLMs
On-policy self-distillation (OPSD) has proven effective for post-training large language models (LLMs), yet its appli...
HuggingFace
Text-Vision Co-Instructed Image Editing
Existing image editing methods can be generally categorized into textual instruction-based and visual prompt-based on...
arXiv
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
Theory of mind (ToM), the capacity to ascribe mental states to others and use those ascriptions for prediction and in...
arXiv
Phantoms and Disclosures: a Causal Framework for Auditing Synthetic Data
The rapid adoption of generative AI and Large Language Models (LLMs) has spurred interest in synthetic data as a priv...
arXiv
Probing Low Frame Rate Degradation in Neural Audio Codecs
Low frame rates in neural audio codecs are attractive for autoregressive speech synthesis, where the generation cost ...
arXiv
How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations
Incorporating textual reviews into a Recommender System has become a prominent strategy for enriching collaborative s...
arXiv
The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers
The reproducibility crisis has directed the AI research community toward improving documentation practices. Several s...
arXiv
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification
Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, tr...
arXiv
Stable Menus of Public Goods: AI-Enabled Progress
Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to u...
arXiv
When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Reinforcement Learning
Reinforcement Learning (RL) policies often degrade in unfamiliar environments because they lack explicit deliberation...
arXiv
ActiveSAM: Image-Conditional Class Pruning for Fast and Accurate Open-Vocabulary Segmentation
Segment Anything Model 3 (SAM 3) provides a strong frozen backbone for concept-prompted segmentation, but applying it...
arXiv
Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations
Public AI evaluations are often read as terminal leaderboards, yet the underlying evidence is a selective time series...
arXiv
TuneJury: An Open Metric for Improving Music Generation Preference Alignment
We introduce TuneJury, an open, instance-level pairwise reward model for text-to-music that predicts a music preferen...
arXiv
TokenPilot: Cache-Efficient Context Management for LLM Agents
As LLM agents are deployed in long-horizon sessions, context accumulation drives up inference costs. Existing approac...
arXiv
FusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Language Foundation Models
Remote sensing vision-language models have advanced Earth observation understanding, but most existing work remains c...
arXiv
HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting
Simple linear and frequency-domain models remain surprisingly competitive in long-horizon time-series forecasting, an...
arXiv
The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers
Oppenheim and Lim (1981) showed that natural images stay recognizable when reconstructed from their Fourier phase alo...
HuggingFace
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs
Standard accuracy benchmarks are designed to test how closely large language models (LLMs) approach correct answers, ...
HuggingFace
Selective Control under Noisy Perception: Governance Failures Hidden by Aggregate Metrics in Modular Networks
A content-moderation system can score well on every standard accuracy metric and still cause real harm, if its mistak...
HuggingFace
DreamX-World 1.0: A General-Purpose Interactive World Model
DreamX-World 1.0 is a general-purpose interactive text/image-to-video world model for controllable long-horizon gener...
HuggingFace
MMDiff: Extending Diffusion Transformers for Multi-Modal Generation
Diffusion transformers have demonstrated remarkable generative capabilities, yet the rich perceptual representations ...
HuggingFace
GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization
As LLMs advance, post-training reinforcement learning (RL) increasingly relies on multi-dimensional rewards to cultiv...
HuggingFace
SP^3: Spherical Priors for Plug-and-Play Restoration
In this paper, we introduce SP^3, a novel Plug-and-Play algorithm that accelerates maximum a posteriori image restora...
HuggingFace
Memento: Reconstruct to Remember for Consistent Long Video Generation
Long-form video generation requires recurring subjects to remain consistent across various shots, viewpoints, motions...
HuggingFace
Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes
When pretrained VLA policies are fine-tuned through online RL, each rollout episode produces only a single binary out...
HuggingFace
Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
Advanced reasoning typically requires Chain-of-Thought prompting, which is accurate but incurs prohibitive latency an...
HuggingFace
The Ghosts of Polymarket: When Off-Chain Matches Meet On-Chain Reverts
Polymarket has emerged as a prominent prediction market platform and one of the fastest-growing applications in DeFi....
HuggingFace
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong re...
HuggingFace
MVEB: Massive Video Embedding Benchmark
We introduce the Massive Video Embedding Benchmark (MVEB), a 23-task benchmark for video embeddings spanning classifi...
HuggingFace
LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
Vision-Language-Action models (VLAs) leverage large-scale vision-language pretraining for semantic robot control, but...
HuggingFace
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders
Sparse autoencoders (SAEs) are widely used to interpret neural network representations, but their utility depends on ...
HuggingFace
EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video
Humans naturally understand object physics through everyday interactions, but faithfully predicting complex deformabl...
HuggingFace
Human Universal Grasping
Humans can grasp objects effortlessly, whereas multi-fingered robots are far from this level of generality. We argue ...
HuggingFace
ExpRL: Exploratory RL for LLM Mid-Training
Sparse reward reinforcement learning (RL) has become a standard tool for improving LLM reasoning, but its success dep...
HuggingFace
Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks
Re-rendering an existing video from a novel camera viewpoint requires the output to follow the prescribed camera traj...
HuggingFace
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
Progress in AI has largely been driven by methods that assume less. As compute and data increase, approaches with wea...
HuggingFace
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be m...
GitHub
[GitHub] TauricResearch/TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework（⭐86448）
HuggingFace
ActiveMimic: Egocentric Video Pretraining with Active Perception
Egocentric human video offers a scalable alternative to robot data for pretraining, yet models pretrained on such vid...
HuggingFace
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models
Multimodal Foundation Models (MFMs) have made substantial progress, yet remain fragile in spatial reasoning over the ...
HuggingFace
APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
Vision-Language-Action (VLA) models that couple pretrained Vision-Language Models (VLMs) with continuous action exper...
HuggingFace
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
As AI systems built from multiple language-model agents become more common, they are increasingly used to make decisi...
HuggingFace
Squeeze-Release: Iterative Pruning with Exact Structural Minimization
Unstructured pruning produces sparse weight tensors, but the standard implementation keeps tensor shapes unchanged so...
HuggingFace
LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations
Online group chats are social spaces with local conversational norms that are rarely stated explicitly. The ability a...
HuggingFace
iMaC: Translating Actions into Motion and Contact Images for Embodied World Models
Embodied world models have emerged as a pivotal paradigm for visual robotic decision-making and interactive environme...
HuggingFace
Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics
Token-level hallucination detectors are evaluated as classifiers, by AUC over all tokens, yet a streaming monitor is ...
HuggingFace
World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible
Image-to-3D methods often trade off faithfulness and completeness: depth estimators are anchored to input pixels but ...
HuggingFace
FVSpec: Real-World Property-Based Tests as Lean Challenges
We present a benchmark for evaluating AI models and agents on real-world formal software verification tasks. We first...
HuggingFace
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Studies of human reasoning have shown that people are typically stronger at evaluating reasoning than producing it fr...
HuggingFace
Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
Modern Lean theorem provers achieve strong performance only with substantial training and inference compute, driven i...
HuggingFace
Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference
With PRECISE, we extended Prediction-Powered Inference to produce bias-corrected estimates of ranking evaluation metr...
HuggingFace
No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
As AI-generated reviews move from experimental tools into peer-review infrastructure, most robustness concerns have f...
HuggingFace
AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties
Affordance reasoning, the inference of an object's action possibilities from its physical properties (e.g., shape and...
HuggingFace
Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
We study fixed-confidence best-action identification (BAI) in stochastic minimax trees. This problem is increasingly ...
HuggingFace
Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion
Autoregressive video diffusion models enable streaming generation but often degrade over long rollouts: static scene ...
arXiv
AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models
Large Audio-Language Models (LALMs) have shown strong performance on a wide range of audio understanding tasks, yet t...
arXiv
Regulating the Machine Contributor: Governance and Policy Alignment in Open Source
AI-assisted software development has moved from line-level autocomplete to agents that can plan changes, edit files, ...
arXiv
A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health
Wearable devices and smartphones generate rich behavioural time series that can support proactive health intervention...
arXiv
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts
Survival prediction plays a central role for healthcare providers and clinical researchers. Accurate risk stratificat...
arXiv
Moonlight in Latent Space: Chirality and Structural Correspondence Between Beethoven's Op. 27 No. 2 and Machine Learning Mechanisms
We show that the three movements of Beethoven's "Moonlight Sonata" (Op. 27 No. 2) instantiate three distinct machine ...
arXiv
When Good Verifiers Go Bad: Self-Improving VLMs Can Regress on New Tasks
Verifier-driven self-DPO is a common recipe for self-improving production visual-language models. In this setup, a fr...
arXiv
From Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-Spoofing
Recent advances in speech generation have significantly improved the naturalness of synthetic speech, making spoofing...
arXiv
Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models
Transformer-based automatic speech recognition (ASR) models such as Whisper are highly accurate, but their prediction...
arXiv
Abstracting Cross-Domain Action Sequences into Interpretable Workflows
Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granula...
arXiv
Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications
Artificial Intelligence (AI) is increasingly used to automate a variety of real-world computer vision (CV) applicatio...
arXiv
Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows
Large language models increasingly serve as execution engines for agentic systems, yet they still consume context thr...
arXiv
CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification
Globally, cotton is a highly economically beneficial crop, as the textile industry heavily depends on it. So, the pre...
arXiv
Flood and Harvest: The Provable Necessity of Trivia for Generating Valuable Mathematics via the Lens of Language Generation in the Limit
AI systems coupled to proof assistants now generate formal mathematics at scale, and the gap between what a checker c...
arXiv
Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning
Cooperative multi-objective multi-agent reinforcement learning (MOMARL) models team decision making under multiple, p...
arXiv
ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clinical decision supp...
HuggingFace
μ_0: A Scalable 3D Interaction-Trace World Model
World models that capture how actions induce physical change enable scalable robot learning without reliance on embod...
HuggingFace
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
AI agent performance depends critically on the runtime harness, comprising the prompts, tools, memory, and control fl...
HuggingFace
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
In this report, we present Hy-Embodied-0.5-VLA, abbreviated as HyVLA-0.5, an end-to-end system that spans the full ro...
HuggingFace
Avatar V: Scaling Video-Reference Avatar Video Generation
Generating avatar videos that are not merely visually similar to a target individual but behaviorally recognizable, f...
HuggingFace
Orchestra-o1: Omnimodal Agent Orchestration
The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-ag...
HuggingFace
LLM Agents Can See Code Repositories
Coding agents powered by large language models have demonstrated strong performance on software engineering tasks. Ye...
HuggingFace
RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space
Large language models (LLMs) are widely used in text-to-image (T2I) systems, but they are typically limited to text e...
HuggingFace
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data
Cloning camera motion from reference videos is an important task in video generation, as videos provide intuitive and...
HuggingFace
MBench: A Comprehensive Benchmark on Memory Capability for Video World Models
Recent advancements in video-based world models have demonstrated an unprecedented ability to synthesize high-fidelit...
HuggingFace
RedAct: Redacting Agent Capability Traces for Procedural Skill Protection
Users rely on execution traces to observe agent behavior, diagnose failures, and ensure accountability. These traces ...
HuggingFace
RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling
Video generation models based on Diffusion Transformers (DiTs) have achieved remarkable performance in video synthesi...
HuggingFace
APPO: Agentic Procedural Policy Optimization
Recent advances in agentic Reinforcement Learning (RL) have substantially improved the multi-turn tool-use capabiliti...
HuggingFace
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
AI agents are increasingly being developed to accelerate scientific discovery, yet their practical capabilities in re...
HuggingFace
Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO
We identify a new dimension for enhancing rollout diversity in Group Relative Policy Optimization (GRPO) for LLMs. Wh...
HuggingFace
CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving
Interactive driving exposes a failure mode that is easy to miss in rule-aware autonomous-driving stacks: a hard-rule ...
HuggingFace
Rethinking RAG in Long Videos: What to Retrieve and How to Use It?
Retrieval-augmented generation is moving beyond text into long, egocentric video, where systems must select query-rel...
HuggingFace
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
Large language models (LLMs) now reach expert-level scores on medical licensing exams, encouraging the assumption tha...
HuggingFace
AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization
Large reasoning models typically follow a read-then-think paradigm: they observe the complete input, reason over a st...
HuggingFace
P3D-Bench: Benchmarking MLLMs for Parametric 3D Generation and Structural Reasoning
Multimodal large language models can write code to produce complex programs as well as use programs to do 3D modeling...
HuggingFace
WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis
Large and demographically balanced datasets are essential for reliable neuroimaging biomarkers. Full-resolution 3D br...
GitHub
[GitHub] firecrawl/firecrawl
The API to search, scrape, and interact with the web at scale. 🔥（⭐132792）
GitHub
[GitHub] langchain-ai/langchain
The agent engineering platform.（⭐139289）
GitHub
[GitHub] x1xhlol/system-prompts-and-models-of-ai-tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, No...
GitHub
[GitHub] open-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)（⭐141524）
GitHub
[GitHub] langgenius/dify
Production-ready platform for agentic workflow development.（⭐145209）
GitHub
[GitHub] Snailclimb/JavaGuide
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发（⭐156367）
GitHub
[GitHub] huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, a...
GitHub
[GitHub] f/prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-...
GitHub
[GitHub] ollama/ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.（⭐174170）
GitHub
[GitHub] Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so ...
GitHub
[GitHub] n8n-io/n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-ho...
GitHub
[GitHub] NousResearch/hermes-agent
The agent that grows with you（⭐193566）
GitHub
[GitHub] tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone（⭐195658）
GitHub
[GitHub] affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first developmen...
GitHub
[GitHub] openclaw/openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞（⭐378719）
arXiv
Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning Models
Chain-of-thought (CoT) reasoning is the dominant paradigm for inference-time scaling in language models, yet the caus...
arXiv
Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Dispatch in three-sided marketplaces provides a natural setting for reinforcement learning from world feedback: decis...
arXiv
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
When large language models (LLMs) fail to generalize or make haphazard errors in reasoning, it is often taken as evid...
arXiv
AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility
Agent systems are advancing quickly across domains, but their evaluation remains fragmented. Most benchmarks rely on ...
arXiv
One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders
Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This cre...
arXiv
Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks
Shielded reinforcement learning is typically presented as a runtime safety mechanism that compiles temporal-logic spe...
arXiv
Valid Inference with Synthetic Data via Task Exchangeability
There is a proliferation of work arguing for the use of synthetic data in scientific research. For example, social sc...
arXiv
SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation
We introduce SkMTEB, the first comprehensive MTEB-style text embedding benchmark for Slovak, a low-resource West Slav...
arXiv
Before You Think: System 0, AI-Mediated Cognition and Cognitive Colonization
This paper examines three recent frameworks for understanding the cognitive and epistemic consequences of artificial ...
arXiv
EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
LLM-based agents have shown increasing potential in automating scientific discovery. Given an optimizable metric and ...
arXiv
Agents-K1: Towards Agent-native Knowledge Orchestration
Current LLM-based research agents have advanced through agent orchestration, yet largely overlook scientific knowledg...
arXiv
Automated reproducibility assessments in the social and behavioral sciences using large language models
Reproducibility in the social and behavioral sciences is typically evaluated by independent researchers who reanalyze...
arXiv
SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning
Spatial reasoning, the ability to determine where objects are, how they relate, and how they move in 3D, remains a fu...
arXiv
Mana: Dexterous Manipulation of Articulated Tools
Articulated tool manipulation remains a major challenge in dexterous robotics due to the need to coordinate internal ...
arXiv
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
Retrieval-augmented generation (RAG) has become a standard mechanism for grounding language models in external knowle...
AI前沿
[AI News] Hoi3DGen：生成高质量的三维人-物交互场景
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: Hoi3DGen：生成高质量的三维人-物交互场景 英文名: Hoi3DGen: Generating High-Quality Human-Object-Interacti...
AI前沿
[AI News] 跨上下文审查：通过分离生成与审查会话提升大语言模型输出质量
来源: arXiv 爆炸度: 7/10 💥💥💥💥💥 中文名: 跨上下文审查：通过分离生成与审查会话提升大语言模型输出质量 英文名: Cross-Context Review: Improving LLM Output Quality ...
AI前沿
[AI News] 大语言模型应用精选集
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 大语言模型应用精选集 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个收录了基于各类大语言模型（包括OpenAI、Anthropi...
AI前沿
[AI News] 基于机器学习与组合融合分析的NCAA锦标赛对阵预测
来源: arXiv 爆炸度: 7/10 💥💥💥💥💥 中文名: 基于机器学习与组合融合分析的NCAA锦标赛对阵预测 英文名: NCAA Bracket Prediction Using Machine Learning and Comb...
AI前沿
[AI News] LLM2Vec-Gen：从大语言模型生成式嵌入
来源: arXiv 爆炸度: 7/10 💥💥💥💥💥 中文名: LLM2Vec-Gen：从大语言模型生成式嵌入 英文名: LLM2Vec-Gen: Generative Embeddings from Large Language Mo...
AI前沿
[AI News] 超棒的大型语言模型应用集合
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 超棒的大型语言模型应用集合 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个收录了基于AI智能体和检索增强生成技术的各类LLM应用...
AI前沿
[AI News] 全迷你语言模型L6-v2
来源: HuggingFace 爆炸度: 8/10 💥💥💥💥💥 中文名: 全迷你语言模型L6-v2 英文名: sentence-transformers/all-MiniLM-L6-v2 AI 总结: 轻量高效的通用语义嵌入模型，在速...
AI前沿
[AI News] 大型语言模型应用精选集
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 大型语言模型应用精选集 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个系统化整理当前最热门大型语言模型应用实例的开源项目库，涵盖...
AI前沿
[AI News] 全句嵌入MiniLM-L6-v2模型
来源: HuggingFace 爆炸度: 9/10 💥💥💥💥💥 中文名: 全句嵌入MiniLM-L6-v2模型 英文名: sentence-transformers/all-MiniLM-L6-v2 AI 总结: 一款高效轻量的通用句...
AI前沿
[AI News] AI工具的系统提示词与模型配置库
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: AI工具的系统提示词与模型配置库 英文名: x1xhlol/system-prompts-and-models-of-ai-tools AI 总结: 逆向解析主流AI编程...
AI前沿
[AI News] 超赞的大语言模型应用合集
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 超赞的大语言模型应用合集 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个系统化收集和分类各类大语言模型实际应用案例的开源知识库，...
AI前沿
[AI News] Artificial Intelligence for Detecting Fetal Orofac
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Edu...
AI前沿
[AI News] SG-DOR: Learning Scene Graphs with Direction-Condi
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Peppe...
AI前沿
[AI News] google-gemini/gemini-cli
来源: GitHub 爆炸度: 10/10 💥💥💥💥💥 中文名: google-gemini/gemini-cli 英文名: google-gemini/gemini-cli AI 总结: ⭐ 96812 | 🍴 12008 | 👁️...
AI前沿
[AI News] Transformer-Based Inpainting for Real-Time 3D Stre
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups ...
AI前沿
[AI News] FaceCam: Portrait Video Camera Control via Scale-A
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning 英文名: FaceCam: Port...
AI前沿
[AI News] SimpliHuMoN: Simplifying Human Motion Prediction
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: SimpliHuMoN: Simplifying Human Motion Prediction 英文名: SimpliHuMoN: Simplifying Human M...
AI前沿
[AI News] Accurate and Efficient Hybrid-Ensemble Atmospheric
来源: arXiv 爆炸度: 5/10 💥💥💥💥💥 中文名: Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space w...
AI前沿
[AI News] openclaw/openclaw
来源: GitHub 爆炸度: 10/10 💥💥💥💥💥 中文名: openclaw/openclaw 英文名: openclaw/openclaw AI 总结: ⭐ 260218 | 🍴 49883 | 👁️ 260218 Your ...
AI前沿
[AI News] x1xhlol/system-prompts-and-models-of-ai-tools
来源: GitHub 爆炸度: 10/10 💥💥💥💥💥 中文名: x1xhlol/system-prompts-and-models-of-ai-tools 英文名: x1xhlol/system-prompts-and-models...
AI前沿
[AI News] Shubhamsaboo/awesome-llm-apps
来源: GitHub 爆炸度: 10/10 💥💥💥💥💥 中文名: Shubhamsaboo/awesome-llm-apps 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: ⭐ 99599 | 🍴 ...
AI前沿
[AI News] HiFi-Inpaint：面向高保真参考修复的细节保持型人-物图像生成
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: HiFi-Inpaint：面向高保真参考修复的细节保持型人-物图像生成 英文名: HiFi-Inpaint: Towards High-Fidelity Reference...
AI前沿
[AI News] 推理核心：一个用于符号预训练与后训练的可扩展程序化数据生成套件
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: 推理核心：一个用于符号预训练与后训练的可扩展程序化数据生成套件 英文名: Reasoning Core: A Scalable Procedural Data Genera...
AI前沿
[AI News] AI工具的系统提示词与模型库
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: AI工具的系统提示词与模型库 英文名: x1xhlol/system-prompts-and-models-of-ai-tools AI 总结: 开源逆向工程项目，收集并...
AI前沿
[AI News] 惊艳的LLM应用合集
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 惊艳的LLM应用合集 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个系统整理大型语言模型（LLM）在AI智能体与RAG等领域实际...
AI前沿
[AI News] UFO-4D：从两张无位姿图像进行前馈式4D重建
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: UFO-4D：从两张无位姿图像进行前馈式4D重建 英文名: UFO-4D: Unposed Feedforward 4D Reconstruction from Two I...
AI前沿
[AI News] 模式寻求与均值寻求相遇：快速生成长视频的新方法
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: 模式寻求与均值寻求相遇：快速生成长视频的新方法 英文名: Mode Seeking meets Mean Seeking for Fast Long Video Gener...
AI前沿
[AI News] 通用句子嵌入模型
来源: HuggingFace 爆炸度: 8/10 💥💥💥💥💥 中文名: 通用句子嵌入模型 英文名: sentence-transformers/all-MiniLM-L6-v2 AI 总结: 一个高效轻量的句子嵌入模型，在语义理解任...
AI前沿
[AI News] BERT基础未标注版
来源: HuggingFace 爆炸度: 9/10 💥💥💥💥💥 中文名: BERT基础未标注版 英文名: google-bert/bert-base-uncased AI 总结: 谷歌发布的经典双向Transformer预训练模型，奠...
AI前沿
[AI News] OpenClaw（开源AI助手）
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: OpenClaw（开源AI助手） 英文名: openclaw/openclaw AI 总结: 一个开源、跨平台、可高度定制的个人AI助手，支持多种大模型和功能，旨在成为用...
AI前沿
[AI News] 超赞大语言模型应用集锦
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 超赞大语言模型应用集锦 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 一个精心整理的、涵盖AI智能体与RAG技术的大语言模型应用实战...
AI前沿
[AI News] OpenClaw - 个人AI助手
来源: GitHub 爆炸度: 8/10 💥💥💥💥💥 中文名: OpenClaw - 个人AI助手 英文名: openclaw/openclaw AI 总结: 一个跨操作系统和平台的个人AI助手项目，采用龙虾（Claw）作为品牌标识，...
AI前沿
[AI News] AI工具系统提示词与模型集合
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: AI工具系统提示词与模型集合 英文名: x1xhlol/system-prompts-and-models-of-ai-tools AI 总结: 开源逆向工程项目，系统整...
AI前沿
[AI News] Gemini 命令行工具
来源: GitHub 爆炸度: 8/10 💥💥💥💥💥 中文名: Gemini 命令行工具 英文名: google-gemini/gemini-cli AI 总结: Google官方开源的终端AI助手，让你在命令行中直接使用Gemini...
AI前沿
[AI News] 全MiniLM-L6-v2句子嵌入模型
来源: HuggingFace 爆炸度: 8/10 💥💥💥💥💥 中文名: 全MiniLM-L6-v2句子嵌入模型 英文名: sentence-transformers/all-MiniLM-L6-v2 AI 总结: 轻量高效的通用句子...
AI前沿
[AI News] BERT基础未分词版
来源: HuggingFace 爆炸度: 9/10 💥💥💥💥💥 中文名: BERT基础未分词版 英文名: google-bert/bert-base-uncased AI 总结: Google官方发布的英语基础BERT模型，是NLP领...
AI前沿
[AI News] MediX-R1：开放式医学强化学习框架
来源: arXiv 爆炸度: 3/10 💥💥💥 中文名: MediX-R1：开放式医学强化学习框架 英文名: MediX-R1: Open Ended Medical Reinforcement Learning AI 总结: 该研究...
AI前沿
[AI News] VGG-T³：大规模离线前馈式三维重建
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: VGG-T³：大规模离线前馈式三维重建 英文名: VGG-T$^3$: Offline Feed-Forward 3D Reconstruction at Scale AI...
AI前沿
[AI News] OpenClaw（开源爪）
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: OpenClaw（开源爪） 英文名: openclaw/openclaw AI 总结: OpenClaw是一个开源、跨平台、可高度定制的个人AI助手项目，旨在让用户在任何...
AI前沿
[AI News] AI工具系统提示词与模型库
来源: GitHub 爆炸度: 8/10 💥💥💥💥💥 中文名: AI工具系统提示词与模型库 英文名: x1xhlol/system-prompts-and-models-of-ai-tools AI 总结: 开源仓库汇总了主流AI编程...
AI前沿
[AI News] 超赞的LLM应用集合（含AI智能体与RAG）
来源: GitHub 爆炸度: 9/10 💥💥💥💥💥 中文名: 超赞的LLM应用集合（含AI智能体与RAG） 英文名: Shubhamsaboo/awesome-llm-apps AI 总结: 这是一个系统整理基于大语言模型的AI智能...
AI前沿
[AI News] 通用小型句子嵌入模型（MiniLM-L6-v2）
来源: HuggingFace 爆炸度: 8/10 💥💥💥💥💥 中文名: 通用小型句子嵌入模型（MiniLM-L6-v2） 英文名: sentence-transformers/all-MiniLM-L6-v2 AI 总结: 这是一个...
AI前沿
[AI News] 谷歌BERT基础模型（不区分大小写）
来源: HuggingFace 爆炸度: 9/10 💥💥💥💥💥 中文名: 谷歌BERT基础模型（不区分大小写） 英文名: google-bert/bert-base-uncased AI 总结: 这是一个由谷歌在2018年发布的基于T...
AI前沿
[AI News] ELECTRA基础判别器模型 - 基于判别式预训练的文本编码器
来源: HuggingFace 爆炸度: 9/10 💥💥💥💥💥 中文名: ELECTRA基础判别器模型 - 基于判别式预训练的文本编码器 英文名: google/electra-base-discriminator AI 总结: EL...
AI前沿
[AI News] 基于锚定的模型一致性研究
来源: arXiv 爆炸度: 8/10 💥💥💥💥💥 中文名: 基于锚定的模型一致性研究 英文名: Model Agreement via Anchoring AI 总结: 该论文研究如何通过锚定机制控制两个独立训练的机器学习模型在实值...
AI前沿
[AI News] sentence-transformers/all-MiniLM-L6-v2（HuggingFace
来源: HuggingFace 爆炸度: 6/10 🔴🔴🔴🔴🔴 标题: sentence-transformers/all-MiniLM-L6-v2（HuggingFace） 英文: sentence-transformers/all...
AI前沿
[AI News] google-bert/bert-base-uncased（HuggingFace）
来源: HuggingFace 爆炸度: 7/10 🔴🔴🔴🔴🔴 标题: google-bert/bert-base-uncased（HuggingFace） 英文: google-bert/bert-base-uncased 摘要: ...
AI前沿
[AI News] google/electra-base-discriminator（HuggingFace）
来源: HuggingFace 爆炸度: 6/10 🔴🔴🔴🔴🔴 标题: google/electra-base-discriminator（HuggingFace） 英文: google/electra-base-discrimina...
AI前沿
[AI News] Falconsai/nsfw_image_detection（HuggingFace）
来源: HuggingFace 爆炸度: 5/10 🔴🔴🔴🔴🔴 标题: Falconsai/nsfw_image_detection（HuggingFace） 英文: Falconsai/nsfw_image_detection 摘要...
AI前沿
[AI News] sentence-transformers/all-mpnet-base-v2（HuggingFac
来源: HuggingFace 爆炸度: 7/10 🔴🔴🔴🔴🔴 标题: sentence-transformers/all-mpnet-base-v2（HuggingFace） 英文: sentence-transformers/al...
AI前沿
[AI News] MediX-R1：开放式医疗强化学习（arXiv）
来源: arXiv 爆炸度: 8/10 🔴🔴🔴🔴🔴 标题: MediX-R1：开放式医疗强化学习（arXiv） 英文: MediX-R1: Open Ended Medical Reinforcement Learning 摘要: W...
AI前沿
[AI News] VGG-T³：大规模离线前馈3D重建（arXiv）
来源: arXiv 爆炸度: 7/10 🔴🔴🔴🔴🔴 标题: VGG-T³：大规模离线前馈3D重建（arXiv） 英文: VGG-T$^3$: Offline Feed-Forward 3D Reconstruction at Scal...
AI前沿
[AI News] 基于锚定的模型一致性方法（arXiv）
来源: arXiv 爆炸度: 6/10 🔴🔴🔴🔴🔴 标题: 基于锚定的模型一致性方法（arXiv） 英文: Model Agreement via Anchoring 摘要: Numerous lines of aim to cont...
AI前沿
[AI News] SeeThrough3D：文本到图像生成中的遮挡感知3D控制（arXiv）
来源: arXiv 爆炸度: 8/10 🔴🔴🔴🔴🔴 标题: SeeThrough3D：文本到图像生成中的遮挡感知3D控制（arXiv） 英文: SeeThrough3D: Occlusion Aware 3D Control in T...
AI前沿
[AI News] 一个数据集仅需1MB（arXiv）
来源: arXiv 爆炸度: 9/10 🔴🔴🔴🔴🔴 标题: 一个数据集仅需1MB（arXiv） 英文: A Dataset is Worth 1 MB 摘要: A dataset server must often distribut...
AI前沿
[AI News] sentence-transformers/all-MiniLM-L6-v2
来源: HuggingFace 标题: sentence-transformers/all-MiniLM-L6-v2 摘要: 下载: 187393215 | 点赞: 4520 链接: https://huggingface.co/se...
AI前沿
[AI News] google-bert/bert-base-uncased
来源: HuggingFace 标题: google-bert/bert-base-uncased 摘要: 下载: 60873623 | 点赞: 2578 链接: https://huggingface.co/google-bert/...
AI前沿
[AI News] google/electra-base-discriminator
来源: HuggingFace 标题: google/electra-base-discriminator 摘要: 下载: 48227365 | 点赞: 83 链接: https://huggingface.co/google/ele...
AI前沿
[AI News] Falconsai/nsfw_image_detection
来源: HuggingFace 标题: Falconsai/nsfw_image_detection 摘要: 下载: 40235989 | 点赞: 1000 链接: https://huggingface.co/Falconsai/n...
AI前沿
[AI News] sentence-transformers/all-mpnet-base-v2
来源: HuggingFace 标题: sentence-transformers/all-mpnet-base-v2 摘要: 下载: 26331045 | 点赞: 1253 链接: https://huggingface.co/se...
AI前沿
[AI News] Model Agreement via Anchoring
来源: arXiv 标题: Model Agreement via Anchoring 摘要: Numerous lines of aim to control $\textit{model disagreement}$ -- the...
AI前沿
[AI News] SeeThrough3D: Occlusion Aware 3D Control in Text-t
来源: arXiv 标题: SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation 摘要: We identify occlusion reasonin...
AI前沿
[AI News] A Dataset is Worth 1 MB
来源: arXiv 标题: A Dataset is Worth 1 MB 摘要: A dataset server must often distribute the same large payload to many clien...
AI前沿
[AI News] SOTAlign: Semi-Supervised Alignment of Unimodal Vi
来源: arXiv 标题: SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport 摘要: Th...
AI前沿
[AI News] FlashOptim: Optimizers for Memory Efficient Traini
来源: arXiv 标题: FlashOptim: Optimizers for Memory Efficient Training 摘要: Standard mixed-precision training of neural ne...
AI前沿
[AI News] Error
来源: arXiv 标题: Error 摘要: sortOrder must be in: ascending, descending 链接: https://arxiv.org/help/api/user-manual#sort