Content-Aware Adaptive Token Pruning for Video-Language Models.

arXiv:2608.03112v2 Announce Type: replace-cross Abstract: Vision-language models excel at image and video understanding but suffer from high inference latency due to the need to process thousands of tokens per image, limiting their deployment on resource-const