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A Fisher-Geometric View of Multi-Teacher On-Policy Distillation

Kaiyuan, Liu et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Consolidating specialized foundation models into a unified generalist is a central goal of post-training. Two approaches are in common use: model merging, which is fast but treated as a heuristic, and multi-teacher on-policy distillation, which matches distributions but demands heavy rollout compute
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