most citedCooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

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cs.CL2025★ 1 cited

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

Haitao Hong, Yuchen Yan, Xingyu Wu +5

Large language models (LLMs) have demonstrated remarkable performance in reasoning tasks, where reinforcement learning (RL) serves as a key algorithm for enhancing their reasoning…