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From Dissonance to Orchestration: Teacher Intervention in On-Policy Distillation

Wang, Yuhao et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
On-policy distillation (OPD) trains a student on its own reasoning trajectories using feedback from a stronger teacher. Teacher interventions can improve these trajectories, but also change the distribution on which the student learns. Our controlled studies show that rollout quality alone is an inc
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