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Zhong Yang

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Book Open access Aug 2026

MMSep: Efficient Multimodal Long-Generation Reasoning via Multimodal Separator Compression

MMSep is proposed, a training-free multimodal separator localization and compression framework that improves efficiency in both prefilling and decoding and consistently reduces latency while maintaining competitive generation quality and reasoning accuracy.

Ming-Jie Ma, Yichao Ma, Jiannan Cao et al. · 0 citations
Book Open access Aug 2026

MMSep: Efficient Multimodal Long-Generation Reasoning via Multimodal Separator Compression

Existing research on Efficient Multimodal Large Language Models (EMLLMs) primarily focuses on reducing the number of visual tokens in the prefilling stage, which is tailored to short-answer inference scenario. However, in more complex multimodal reasoning tasks, models are often required to generate lengthy intermediat...

Mingjie Ma, Yichao Ma, Jiannan Cao et al. · 0 citations

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