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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.LG2025
Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment
Haowen Wang, Yun Yue, Zhiling Ye +12
Alignment methodologies have emerged as a critical pathway for enhancing language model alignment capabilities. While SFT (supervised fine-tuning) accelerates convergence through d…