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Yang Zhang

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#artificial intelligence Preprint Sep 2026

Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation

Decoupled Credit Self-Distillation is introduced, which theoretically decouples credit direction and magnitude into two reliable signals and uses them to calibrate privileged teacher supervision, enabling step-to-token credit assignment for policy optimization.

Yu-Gu Li, Ze-Hong Cao, Pei-Zhen Li et al. · 0 citations

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