Mining the Design Space of Multi-Agent Workflows
Designing large language model (LLM) multi-agent systems (MAS) still relies on trial and error and informal"folk wisdom."Manual studies test only a few communication structures or topologies (e.g., sequential, parallel, shared-memory, or debate), while automated optimizers discard search trajectories after selecting a...
Xavier F. Cadet, Jun-Yan Cheng, Peter Chin et al.
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