SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
机构 * University of Electronic Science and Technology of China(电子科技大学) ; Shenzhen Institute for Advanced Study(深圳先进研究 institute) ; CFAR, Agency for Science, Technology and Research (A*STAR)(科技研究局(A*STAR)认知与人工智能研究中心) ; IHPC, Agency for Science, Technology and Research (A*STAR)(科技研究局(A*STAR)人工智能中心)
专题命中 VLM训练与架构 :LLaVA(abstract);multimodal large language model(abstract);分类 cs.CV
Comments NeurIPS 2025