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洞察 - Adaptive Multi-agent Systems
自適應對話式團隊建構以提升語言模型代理的能力
提出一種新的自適應團隊建構範式,通過靈活組建和管理團隊來解決複雜任務,並通過嵌套群組對話和反思機制來確保專業知識的多樣性和避免刻板印象。
Adaptive In-conversation Team Building for Language Model Agents: Enhancing Flexibility and Performance in Complex Task Solving
Leveraging multiple large language model (LLM) agents can effectively tackle complex tasks, but the design of such multi-agent systems remains challenging. This work introduces a new adaptive team-building paradigm, realized through the Captain Agent, which dynamically forms and manages teams for each step of a task-solving process to ensure diverse expertise and prevent stereotypical outputs.
