Can LLMs Uncover Hidden Physical Laws through Free Exploration? Paper • 2610.37649 • Published 3 days ago • 17
What Effort Level Should I Choose? On the Economics of Reasoning Effort in LLM Agents Paper • 2610.34491 • Published 5 days ago • 36
RoboHarness: A Simple Harness Outperforms VLA and World Action Models Paper • 2610.14018 • Published 14 days ago • 23
Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution Paper • 2610.32285 • Published 7 days ago • 300
Continual Learning Exam: Benchmarking Long-Horizon RSI and Experiential Learning in LLM Agents Paper • 2610.33956 • Published 5 days ago • 62
Evolving to Match Capabilities: Improving Harness Self-Evolution via Skill Adaptation Paper • 2610.33024 • Published 20 days ago • 33
Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model Paper • 2610.29139 • Published 9 days ago • 16
Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents Paper • 2610.34654 • Published 4 days ago • 19
JockeyBench: Evaluating LLM Agents on Horse-Racing Decision-Making Paper • 2610.19589 • Published 16 days ago • 11
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models Paper • 2610.32770 • Published 7 days ago • 41
SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs Paper • 2610.31062 • Published 8 days ago • 32
Editing Images into Reusable Layers via Compositional Edit-Prior Distillation Paper • 2610.24738 • Published 13 days ago • 115