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Xu-Dong Wang

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Preprint Sep 2026

OmniTaskonomy: When Does Visual Generation Improve Visual Understanding?

Training a model to generate visual content can encourage it to learn rich perceptual capabilities related to geometry, spatial relationships, and objectness; yet, its benefits for visual understanding remain unclear. We ask: when and how does visual generation supervision improve visual understanding? We study control...

Jia-Xin Ge, Yi-Ming Qin, Ji Xie et al. · 0 citations
#artificial intelligence Preprint Oct 2026

MWOP: Modality-aware Width-wise Operation Pruning for Efficient MLLMs

Multimodal large language models (MLLMs) incur substantial inference costs when processing long visual-textual sequences. While existing operation compression methods exploit modality-level redundancy, they largely treat computation within attention heads and shared feed-forward network (FFN) channels as unified units,...

Xu-Dong Wang, Hao Wu, Hao-Zhe Hu et al. · 0 citations

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