Policy and World Modeling Co-Training for Language Agents Paper • 2606.02388 • Published 5 days ago • 11
Bug or Feature^2: Weight Drift, Activation Sparsity, and Spikes Paper • 2605.17659 • Published 20 days ago • 3
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Paper • 2605.11739 • Published 24 days ago • 59
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining Paper • 2605.14747 • Published 23 days ago • 145
HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation Paper • 2604.28196 • Published Apr 30 • 72
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Paper • 2604.18486 • Published Apr 20 • 95
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver Paper • 2604.08377 • Published Apr 9 • 291
An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU Paper • 2603.16428 • Published Mar 17 • 51
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 632
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 506
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers Paper • 2603.24414 • Published Mar 25 • 183
When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning Paper • 2603.21289 • Published Mar 22 • 35
CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence Paper • 2603.28032 • Published Mar 30 • 343
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning Paper • 2603.04597 • Published Mar 4 • 211
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 266
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training Paper • 2602.10693 • Published Feb 11 • 221