2025
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
ICCV 2025poster
Large Vision-Language Models (VLMs) generally contain significantly more visual tokens than their textual counterparts, resulting in a considerable computational burden. Recent efforts have been made to tackle this issue by pruning visual tokens early within the language model. Most existing works u…