Anti-Self-Distillation Boosts Math Reasoning Speed And Accuracy In RL

Users praise the anti-self-distillation approach for breaking the self-distillation bottleneck in RL, allowing models to improve math reasoning speed and accuracy by diverging from the teacher's path.

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