MetaAgent:AutomaticallyConstructingMulti-AgentSystemsBasedonFiniteStateMachinesYaolunZhang1XiaogengLiu1ChaoweiXiao1arXiv:2507.22606v1[cs.AI]30Jul2025Abstract2024).Tofurtherimprovetheperformance,themulti-agentsystemhasbeenproposed,whichimprovesandenlargestheLargeLanguageModels(LLMs)havedemon-abilitiesoftheagentbyassigningdifferentrolesandskillsstratedtheabilitytosolveawiderangeofprac-toLLMsanddesigningeffectivecooperationmechanismsticaltaskswithinmulti-agentsystems.However,toorganizethem(Hongetal.,2024b;Qianetal.,2023;Yanexistinghuman-designedmulti-agentframeworksetal.,2024;Huangetal.,2023).Despitethesuccess,mostaretypicallylimitedtoasmallsetofpre-definedo...
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