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#machine learning Preprint Oct 2026

From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation

Multi-teacher on-policy distillation (MOPD) aims to combine the strengths of RL-trained teachers in a single student, but how teacher signals affect parameter changes remains underexplored. We study Qwen3-1.7B with four domain teachers trained with RL from the same initialization as the student, comparing gradients, op...

Si-Qi Zhu, Suo-Zhi Huang, Kai-Xuan Zhang et al. · 0 citations

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