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SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models

Li, Shiyu et al.
arXiv (All) · Papers
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computation-and-languagecomputer-vision-and-pattern-recognition
Despite their strong multimodal understanding ability, multimodal large language models (MLLMs) incur substantial computational overhead when processing long visual token sequences. To reduce inference costs, recent studies have explored visual token pruning through vision-centric or text-guided str
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