Author

Ming-Xu Chai

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Preprint Aug 2026

A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation

On-policy distillation (OPD) supervises a student on its own trajectories with token-level signals from a frozen teacher, yet how a sampled loss allocates updates across tokens remains poorly understood. We analyze the gradient of the per-token K2 estimator of reverse KL with respect to the student logits. The $\ell_1$...

Bing Shao, Jia-Zheng Zhang, Long Ma et al. · 0 citations

Preprint Aug 2026

State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models

Compared with typical vision-language tasks, document parsing places stronger demands on fine-grained visual perception. Existing vision-language model (VLM)-based parsing approaches rely on globally compressed visual tokens, where fine-grained details are entangled within a single representation and repeatedly accesse...

Ming-Xu Chai, Chen-Yu Liu, Zi-Yu Shen et al. · 0 citations

#artificial intelligence May 2026

Prefix-Adaptive Block Diffusion for Efficient Document Recognition

The Prefix-Adaptive Block Diffusion Model (PA-BDM) is proposed, which replaces intra-block bidirectional denoising with causal denoising from prefix to suffix and treats the block size as a maximum candidate range rather than a fixed commitment unit.

Ming-Xu Chai, Zi-Yu Shen, Chen-Yu Liu et al. · arXiv.org · 0 citations