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Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Wang, Zhao, Moriyama, Sota, Wang, Wei-Yao, Gangopadhyay, Briti, Takamatsu, Shingo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Machine Learning Multiagent Systems
Accesso online:	Acceder al recurso
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