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arXiv Computation and Language By Jinshan Gao, Zhuoran Jin, Tianyi Men, Kang Liu, Jun Zhao

SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?

Read the original on arXiv Computation and Language →

SwarmBench is a new benchmark designed to evaluate large language models (LLMs) as orchestrators of agent swarms, assessing accuracy, efficiency, cost, and process quality. The study finds significant variations in orchestration performance among current models, affecting not only final outcomes but also the quality of the orchestration process itself. To address these gaps, the authors introduce SwarmExp, a method that uses experience extraction and replay to consistently enhance LLM orchestration performance.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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