TReVS: Integrating Textual Relevance and Visual Saliency for Efficient Vision-Language Model Token Pruning.

arXiv:2609.37581v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) excel at visual understanding and reasoning but often incur substantial inference costs due to the large number of visual tokens. Recent visual token pruning methods increasingly f