AI RESEARCH
MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning
arXiv CS.AI
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ArXi:2605.25842v1 Announce Type: new Vision-language models (VLMs) increasingly rely on chain-of-thought (CoT) reasoning to solve complex multimodal tasks, but their large parameter sizes make deployment expensive. Structured pruning offers a natural solution; however, existing methods fail to preserve CoT reasoning accuracy in VLMs.