2 papers
cs.CV2025
CORE: Compact Object-centric REpresentations as a New Paradigm for Token Merging in LVLMs
Jingyu Lei, Gaoang Wang, Der-Horng Lee
Large Vision-Language Models (LVLMs) usually suffer from prohibitive computational and memory costs due to the quadratic growth of visual tokens with image resolution. Existing tok…
cs.CL2025
Adaptive Graph Pruning for Multi-Agent Communication
Boyi Li, Zhonghan Zhao, Der-Horng Lee +1
Large Language Model (LLM) based multi-agent systems have shown remarkable performance in various tasks, especially when enhanced through collaborative communication. However, curr…