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cs.LG2026
How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning
Minghao Tian, Yunfei Xie, Chen Wei
Group Relative Policy Optimization (GRPO) has been a key driver of recent progress in reinforcement learning with verifiable rewards (RLVR) for large language models, but it is typ…
cs.AI2026
InfoDensity: Rewarding Information-Dense Traces for Efficient Reasoning
Chengwei Wei, Jung-jae Kim, Longyin Zhang +2
Large Language Models (LLMs) with extended reasoning capabilities often generate verbose and redundant reasoning traces, incurring unnecessary computational cost. While existing re…