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papersTODAY 04:00 UTC

arXiv Paper Examines How Much Training Data Matters in On-policy Distillation

A new arXiv preprint investigates how much of the benefit from on-policy distillation actually comes from the training data used. Testing the two teacher-student pairings most often seen in practice, the authors report findings that challenge assumptions about data's role in the method. The work is positioned as a closer look at a technique that has become standard in frontier post-training pipelines.

arXivOn-Policy Distillationknowledge distillationpost-trainingteacher-student-learningtraining-data

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arXiv cs.AIData-free On-policy DistillationTODAY 04:00 UTC
arXiv cs.LGData-free On-policy DistillationTODAY 04:00 UTC