HuggingFace
Memory as Plans: World-Action Modeling with Memory-Grounded Planning
Mainstream robotic policies often adopt a Markovian formulation, but many complex real-world manipulation tasks are i...
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HuggingFace
IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications
A research idea may be novel, coherent, and scientifically plausible, yet its proposed method may remain insufficient...
HuggingFace
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not only iden...
HuggingFace
Beyond Solver Verdicts: Generative Reward Models for Autoformalization
Neurosymbolic systems rely on mathematical solvers to guarantee reasoning correctness, yet solvers are fundamentally ...
HuggingFace
Adaptive Bridge: A Proxy-Based Decoupling Layer for Mitigating DDS Backpressure in ROS 2
In systems built on Robot Operating System 2 (ROS 2) and using Data Distribution Service (DDS), a single network-impa...
HuggingFace
Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning
Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain...
HuggingFace
Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity Linking
Multimodal entity linking grounds entity mentions in text and images to knowledge-base entries. These systems degrade...
HuggingFace
Studying Image Tokenizers as Visual Languages in Unified Multimodal Models
Image tokenizers define the ``visual language'' of unified multimodal models, yet are commonly studied through isolat...
arXiv
Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations
Maritime Autonomous Surface Ships (MASS) and AI- supported decision assistants are expected to transform maritime ope...
arXiv
Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
Diffusion and flow-matching schedules control the signal and noise coefficients that mix data and noise along affine ...
arXiv
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
How does a language model's dependence on query-routing information and target knowledge change as it answers a quest...
arXiv
Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
Energy consumption forecasting relies on increasingly complex machine learning (ML) models, such as Genetic Programmi...