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AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

Intermediate

Changwoo Baek, Jouwon Song et al.Mar 1arXiv

Big picture: Vision-language models look at hundreds of image pieces (tokens), which makes them slow and sometimes chatty with mistakes called hallucinations.

#visual token pruning#attention-based pruning#diversity-based pruning

Papers1

AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models