AI21 Labs Releases LIFT-Bench to Curb Reward Hacking in RL Training

AI21 Labs launched LIFT-Bench, a new benchmark and training dataset designed to reduce reward hacking in instruction-following reinforcement learning by using scoped constraints tied to document sections. Their approach addresses failures in prior benchmarks where models optimized rewards by ignoring task content.