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RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
提出GPOP方法，通过分组优先离轨优化提升LLM推理效率，有效剔除无效样本，为强化学习提供新思路。
arXiv:2606.01281v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for enhancing…