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

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cs.CL2025

Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A Survey

Jiaqi Wei, Xiang Zhang, Yuejin Yang +10

Deliberative tree search is a cornerstone of modern Large Language Model (LLM) research, driving the pivot from brute-force scaling toward algorithmic efficiency. This single parad…

cs.CL2025★ 1 cited

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

Zhouhong Gu, Xiaoxuan Zhu, Yin Cai +12

Large language model based multi-agent systems have demonstrated significant potential in social simulation and complex task resolution domains. However, current frameworks face cr…