Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin

arXiv:2608.06411v1 Announce Type: new Abstract: Multimodal large language models MLLMs achieve strong performance across diverse visionlanguage tasks, but their efficiency is limited by the cost of processing numerous visual tokens.