Author

Deqing Wang

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Preprint Aug 2026

Local-to-Global Sentence-Level Graph Reranking for Scientific Synthesis

Retrieval-augmented scientific synthesis aims to answer complex research questions by integrating information from multiple papers into comprehensive and well-grounded responses. Since the generator can only synthesize the information selected and organized by the reranker, the quality of the generated synthesis depend...

Zheng Dou, Zhao Zhang, Hao-Zhan Geng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AdaVSkip: Adaptive Visual Token Skipping Across Layers For Efficient MLLMs Inference

AdaVSkip is proposed, which equips each layer with two lightweight routers that independently determine whether visual tokens pass through by or skip the self-attention and MLP modules, and maintains strong task performance with substantially less computation.

Yu-Yao Sun, Tao Deng, Shuang-Hua Li et al. · 0 citations

#computer vision Preprint Aug 2026

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Pruning

Middle-layer Attention Prediction (MAP), which uses Question Contrastive Teacher Selection to identify a sample-specific teacher layer by contrasting attention under the original and reference questions, and distills attention from the selected layer into a lightweight predictor that estimates visual token importance f...

Yu-Yao Sun, Tao Deng, Shuang-Hua Li et al. · 0 citations