2026
SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
ICLR 2026poster
Videos contain rich information but also high redundancy, as consecutive frames often share similar backgrounds and predictable motions. Current video-language models (VLMs) are unable to exploit this redundancy and therefore perform a significant amount of superfluous computation, processing thousa…