HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models

Shuang Liu, Yuxuan Bo, Qiuyang Zhao +4

Reward models are central to large language model (LLM) alignment, but they remain vulnerable to reward hacking. To evaluate reward-model robustness, we introduce RewardHackBench c…