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LLM post-training

topic1 events
papersSEP 10 04:00 UTC

Paper proposes averaging SFT and RL policy logits for LLM post-training

An arXiv paper introduces a post-training method that blends supervised fine-tuning with reinforcement learning by averaging the output logits of a frozen reference policy with those of the trainable policy. The technique is integrated into GRPO, letting a model retain its supervised behaviors while still improving on verifiable rewards during reinforcement learning.

llm-training/reinforcement-learning/grpo/post-training