AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration Paper • 2605.20025 • Published May 19 • 191
TOBench: A Task-Oriented Omni-Modal Benchmark for Real-World Tool-Using Agents Paper • 2605.16909 • Published May 16 • 10
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models Paper • 2605.20873 • Published May 20 • 44
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems Paper • 2605.04018 • Published May 5 • 41
Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models Paper • 2604.10949 • Published Apr 13 • 40
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Paper • 2604.06628 • Published Apr 8 • 330
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 511
AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning Paper • 2604.05846 • Published Apr 7 • 11
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers Paper • 2603.24414 • Published Mar 25 • 183
Lost in Stories: Consistency Bugs in Long Story Generation by LLMs Paper • 2603.05890 • Published Mar 6 • 93
The Trinity of Consistency as a Defining Principle for General World Models Paper • 2602.23152 • Published Feb 26 • 204
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models Paper • 2602.22859 • Published Feb 26 • 150
SkillOrchestra: Learning to Route Agents via Skill Transfer Paper • 2602.19672 • Published Feb 23 • 58
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 267