Machine Learning6 min reading time

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

Unite.AI
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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.

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