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Guo-Qing Wang

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#artificial intelligence Preprint Oct 2026

MoLE: Mixture of Latent Experts for Complementary Visual Reasoning

Latent visual reasoning equips vision--language models with continuous intermediate states that can process visual evidence without explicit textual reasoning traces or repeated image operations. However, existing methods often allow multiple latent tokens to access the same visual evidence through shared value project...

Yingcheng Liu, Tian-Yi Jiang, Yu-Juan Ding et al. · 0 citations
Jul 2026

VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding

Large vision-language models (LVLMs) have achieved significant progress in video understanding, yet understanding long videos remains challenging due to the large number of visual tokens and limited context windows. Visual sampling provides a practical solution by selecting an informative subset of frames. However, exi...

Haiyue Zhang, Yi Bin, Xun Jiang et al. · 0 citations

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