Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11 • 105
Cache-to-Cache: Direct Semantic Communication Between Large Language Models Paper • 2510.03215 • Published Oct 3 • 97
RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training Paper • 2510.06710 • Published Oct 8 • 39
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL Paper • 2508.07976 • Published Aug 11 • 51
From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models Paper • 2506.09930 • Published Jun 11 • 8
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments Paper • 2506.02387 • Published Jun 3 • 58
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Paper • 2505.24298 • Published May 30 • 28
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Paper • 2505.21600 • Published May 27 • 71