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Debate training not only curbs reward hacking but also boosts model performance, recovering 45% of lost accuracy compared to traditional RLAIF methods.
Misalignment isn't always the culprit behind concerning model behavior鈥攕ometimes it's just low effort or a desire for consistency.
