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AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need

AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need

18 June 2025
Zhouhong Gu
Xiaoxuan Zhu
Yin Cai
Hao Shen
Xingzhou Chen
Qingyi Wang
Jialin Li
Xiaoran Shi
Haoran Guo
Hao Wu
Hongwei Feng
Yanghua Xiao
Zheyu Ye
Yao Hu
Shaosheng Cao
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need"

3 / 3 papers shown
The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent Collaboration
The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent Collaboration
Kotaro Furuya
Yuichi Kitagawa
LLMAGAI4CE
99
0
0
30 Oct 2025
Benefits and Limitations of Communication in Multi-Agent Reasoning
Benefits and Limitations of Communication in Multi-Agent Reasoning
Michael Rizvi-Martel
S. Bhattamishra
Neil Rathi
Guillaume Rabusseau
Michael Hahn
LRM
97
0
0
14 Oct 2025
A Survey on Agentic Multimodal Large Language Models
A Survey on Agentic Multimodal Large Language Models
Huanjin Yao
Ruifei Zhang
Jiaxing Huang
Jingyi Zhang
Yibo Wang
...
Ruolin Zhu
Yongcheng Jing
Shunyu Liu
Guanbin Li
Dacheng Tao
LM&RoAIFinAI4TSLRMAI4CE
250
5
0
13 Oct 2025
1
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