3 papers
cs.CV2026
Toward Cognitive Supersensing in Multimodal Large Language Model
Boyi Li, Yifan Shen, Yuanzhe Liu +12
Multimodal Large Language Models (MLLMs) have achieved remarkable success in open-vocabulary perceptual tasks, yet their ability to solve complex cognitive problems remains limited…
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…
cs.AI2023
See and Think: Embodied Agent in Virtual Environment
Zhonghan Zhao, Wenhao Chai, Xuan Wang +5
Large language models (LLMs) have achieved impressive pro-gress on several open-world tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper proposes S…