Author

Heyang Zhao

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#artificial intelligence Preprint Sep 2026

Understanding Off- vs On-Policy Distillation: A Tale of Distinct Training Objectives

On-policy distillation (OPD) learns from teacher feedback on student-generated responses and has shown promise in reducing forgetting relative to supervised fine-tuning (SFT). However, its benefits and fragility remain incompletely understood. We study sequential distillation from multiple teachers, where the student m...

Qi-Wei Di, Xu-Heng Li, Kaixuan Ji et al. · 0 citations

#machine learning Jul 2026

Multi-Mask Diffusion Language Models for Few-Step Generation

This work proposes a multi-mask diffusion model (MultiMDM) that preserves the masking structure towards few-step generation and derives a closed-form ELBO training objective for MultiMDM that supports continual training from pretrained MDMs.

Sijin Chen, Yinuo Ren, Heyang Zhao et al. · arXiv.org · 0 citations