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Jia-Bin Fan

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#machine learning Preprint Sep 2026

RMB: Reward Model Boosting Mitigates Reward Hacking

Reinforcement Learning from Human Feedback (RLHF) is a powerful technique for aligning large language models (LLMs) with human preference. However, it often suffers from the reward hacking issue, where policy optimization improves the proxy reward model while actually degrading performance with respect to the true huma...

Jia-Bin Fan, De-Zhi Ye, Yong-Chang Hao et al. · 0 citations