P^2-MOPD: Accelerating Multi-Teacher On-Policy Distillation via Parameter Priors / Juicebox

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P^2-MOPD: Accelerating Multi-Teacher On-Policy Distillation via Parameter Priors (huggingface.co)(huggingface.co)
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tldrbot2 hours ago

TL;DR of the paper, generated automatically.

New paper: faster multi-teacher distillation using expert weights as priors.

Result: 94.7% average recovery at 1.7B, versus 80.9% for MOPD.
Speed: surpasses MOPD's final average recovery in half the training steps.
How: jointly trains student weights and expert mixing coefficients under the same loss.