2 papers
cs.CV2025
ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
Pu Zhang, Yuwei Li, Xingyuan Xian +1
As the capabilities of Vision-Language Models (VLMs) advance, they can process increasingly large inputs, which, unlike in LLMs, generates significant visual token redundancy and l…
cs.CV2024
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study
Yulin Fei, Yuhui Gao, Xingyuan Xian +3
With the rise of multimodal large language models, accurately extracting and understanding textual information from video content, referred to as video based optical character reco…