Author

Chen-Yu Liu

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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

Preprint Jul 2026

Hierarchical Evidence-Driven Reasoning for Long Document Understanding

HIEVI-RAG is introduced, a hierarchical, evidence-driven multimodal RAG framework for closed-domain document understanding that significantly outperforms existing open-source baselines and exceeds the strongest reported baseline by an average of 8.05% in accuracy.

Junyu Xiong, Yonghui Wang, Rongjian Gu et al. · 1 citation