Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Mar 27, 2025·
Junyu Luo
,
Weizhi Zhang
,
Ye Yuan
,
Yusheng Zhao
,
Junwei Yang
,
Yiyang Gu
,
Bohan Wu
,
Binqi Chen
,
Ziyue Qiao
,
Qingqing Long
,
Rongcheng Tu
,
Xiao Luo
,
Wei Ju
,
Zhiping Xiao
,
Yifan Wang
,
Meng Xiao
,
Chenwu Liu
,
Jingyang Yuan
,
Shichang Zhang
Yiqiao Jin
Yiqiao Jin
,
Fan Zhang
,
Xian Wu
,
Hanqing Zhao
,
Dacheng Tao
,
Philip S. Yu
,
Ming Zhang
· 1 min read
Type
Publication
arXiv preprint arXiv:2503.21460

This survey organizes LLM agent research around how agents are built, how they collaborate, and how they evolve. It connects these design choices to evaluation methods, tool use, practical challenges, and application domains.

LLM Agents Multi-Agent Systems Survey
Yiqiao Jin
Authors
Yiqiao Jin
Ph.D. Candidate in Computer Science
My research sits at the intersection of multimodal foundation models, intelligent agents, and spatial/physical intelligence. I build general-purpose models that perceive, reason, learn, and act in interactive virtual and physical environments.