ACL 2026 Paper Proposes Self-Correction Method for Reward Models
The REFORM paper, accepted as an ACL 2026 oral, proposes a self-correction method for reward models to address reward hacking. By using reward-guided adversarial failure discovery, the approach builds more robust reward models despite incomplete supervision data.
2026-07-05 ~ 2026-07-07 · 2 related posts
- REFORM Paper on Reward Model Red-Teaming Accepted to ACL 2026 — furongh · 2026-07-05
- Teaching Reward Models to Self-Correct (ACL Oral) — furongh · 2026-07-07