HuggingFace
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) but caus...
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HuggingFace
VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement
Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable ...
HuggingFace
A Common Measure of Communication for Speech Brain-Computer Interfaces
Speech brain-computer interfaces (speech BCIs) translate neural activity into language, offering a path towards resto...
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...
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...