Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning 事件

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning arXiv:2509.06948v3 Announce Type: replace Abstract: Supervised fine-tuning (SFT) and reinforcement learning with verifiable rewards (RLVR) are two widely used post-training paradigms for improving the reasoning ability of large language models (LLMs). Recent methods attempt to integrate SFT and RLVR in a single stage by reweighting or scheduling their objectives. However, such coupling can be counterproductive because supervise