Teaching Reward Models to Self-Correct (ACL Oral)
furongh · x · 2026-07-07
furongh shares an ACL 2026 oral paper proposing a method to teach reward models how to self-correct. By using reward-guided adversarial failure discovery, the study builds more robust reward models, addressing issues like reward hacking, alignment, and safety.
Related event: ACL 2026 Paper Proposes Self-Correction Method for Reward Models(2 posts)→
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