AI RESEARCH
ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
arXiv CS.LG
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ArXi:2508.05170v3 Announce Type: replace-cross In practice, rigorous reasoning is often a key driver of correct code, while Reinforcement Learning (RL) for code generation often neglects optimizing reasoning quality. Bringing process-level supervision into RL is appealing, but it faces two challenges. First