Yuting Cheng

IF-Prune: Information-Flow Guided Token Pruning for Efficient Vision-Language Models

Vision-language models (VLMs) with dynamic resolution vision encoders achieve strong performance, but face significant efficiency challenges due to long input sequences. A common approach is to assess the importance of tokens and prune those that are less informative. Recent methods utilizing a smal