提出R²PO方法，通过解耦Rollout与推理策略，显著提升LLM复杂推理任务中的效率与准确度。
arXiv:2601.11960v3 Announce Type: replace-cross Abstract: Existing reinforcement learning methods for LLM reasoning implicitly assume that the policy …
挑战LLM强化学习传统认知，揭示单调推理策略才是真正优化目标而非训练策略。
arXiv:2606.29526v1 Announce Type: new Abstract: Reinforcement learning (RL) has gained growing attention in large language model (LLM) post-training, …
从推理到摘要：这篇论文系统研究了通用推理策略如何适应抽象文本摘要，揭示LLM推理能力的新边界。
arXiv:2512.03503v3 Announce Type: replace Abstract: Reasoning has substantially improved Large Language Models (LLMs) on analytical tasks such as math…