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Keng-Hong Lin

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Preprint Aug 2026

Accelerating Visual On-Policy Distillation with Batched Speculative Jacobi Rollouts

Visual on-policy distillation (OPD) improves the training of compact visual autoregressive models by learning from trajectories generated by the current student. However, these online rollouts are still produced token by token with autoregressive decoding, which adds substantial cost to every on-policy training step. S...

Bingqi Shan, Zhehao Yu, Keng-Hong Lin et al. · 0 citations

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