Understanding Reasoning from Pretraining to Post-Training Paper • 2607.16097 • Published 6 days ago • 23
Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks Paper • 2606.12344 • Published Jun 10 • 71
When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents Paper • 2606.05806 • Published Jun 4 • 23
Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents Paper • 2605.30723 • Published May 29 • 17
GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection Paper • 2605.28534 • Published May 27 • 24
VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions Paper • 2605.27141 • Published May 26 • 20
Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments Paper • 2605.27209 • Published May 26 • 16
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning Paper • 2605.28424 • Published May 27 • 32
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning Paper • 2605.28424 • Published May 27 • 32
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization Paper • 2604.02268 • Published Apr 2 • 103
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training Paper • 2602.06820 • Published Feb 6 • 15
Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents Paper • 2509.23040 • Published Sep 27, 2025 • 12
MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning Paper • 2601.21468 • Published Jan 29 • 25
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs Paper • 2602.03048 • Published Feb 3 • 32