Author

Linjiang Huang

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#artificial intelligence Preprint Sep 2026

DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models

DyMD, a DMD framework that adapts both teacher supervision and critic fitting to the evolving student with no auxiliary modules at inference is proposed, and a 14B teacher is distill into a four-step 1.3B student with no auxiliary modules at inference.

Hao-Jun Xu, Jie Huang, Xin Lu et al. · 0 citations

Preprint Aug 2026

Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models

This paper presents Poly-OPD, a framework that can consolidate complementary strengths of heterogeneous teachers into a single compact flow-matching student, and uses a gradient compatibility diagnostic to organize its adapters.

Siming Fu, Haojun Xu, R.Z. He et al. · 2 citations