Author

Zian Su

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#machine learning Preprint Oct 2026

Reward-Aligned Distillation

Reward-Aligned Distillation (RAD), a bilevel framework that weights distillation signals based on their predicted effect on the student's post-update reward, supports reward-guided weighting of teacher supervision across model families and tasks.

Yilan Chen, Zian Su, Manish Prajapat et al. · 0 citations