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 ...

AI 聚合
2026-08-21
arXiv

Inducing Task Models from Computer-Use Traces

Naturalistic computer-use traces, passively recorded screenshots and mouse or keyboard actions, are a valuable resour...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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....

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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...

AI 聚合
2026-08-21
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