Author

Qizhe Zhang

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Preprint Sep 2026

MiCo: Mutual Information Coverage Optimization through Semantic Erasure Modeling for Efficient MLLM Inference

Multimodal large language models (MLLMs) have demonstrated impressive performance in multimodal understanding, but processing large numbers of visual tokens results in high computational costs. While many methods have been proposed to reduce the number of visual tokens, most of them rely on heuristics and are prone to...

Ting-Hao Wang, Yi-Chen Guo, Qi-Zhe Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models

Large vision-language models (LVLMs) achieve strong multimodal understanding, but the hundreds to thousands of visual tokens they process impose substantial computational overhead, motivating training-free visual token pruning. In this work, we conduct two complementary analyses of visual token pruning. First, we measu...

Yi-Chen Guo, Tinghao Wang, Qizhe Zhang et al. · 0 citations

Jul 2026

SparseVLM+: Visual Token Sparsification With Improved Text-Visual Attention Pattern.

Improved text-visual attention patterns are introduced to enhance the fidelity of query-aware vision token selection and the Attention Gravity effect is correct, and a rank-based strategy to adaptively determine the sparsification ratio for each layer is introduced.

Yuan Zhang, Junpeng Ma, Qizhe Zhang et al. · IEEE Transactions on Pattern... · 2 citations