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SWORD：联合优化多智能体工作流与提示词的用户行为模拟框架

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2026年10月7日，arXiv Multiagent Systems 频道发布一手报道，提出 SWORD（Simulation-driven Workflow and Prompt Optimization with Role-based Design）框架。该框架用于用户行为模拟，核心目标是联合优化多智能体工作流拓扑与自然语言提示词。报道指出，SWORD 仅依赖标量任务指标进行优化，无需领域初始化或任务特定工程。目前公开信息仅涉及该框架的提出及其设计要点，尚无后续实验数据、应用案例或同行评议进展的报道。

Generated from reports · updated 3 hr ago

LatestOct 7
arXiv 报道提出 SWORD 框架，联合优化多智能体工作流拓扑与提示词，仅依赖标量任务指标。

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Oct 7, 2026
  1. arXiv · Multiagent Systems
    SWORD：用户行为模拟的联合工作流与提示词优化框架

    SWORD（Simulation-driven Workflow and Prompt Optimization with Role-based Design）框架被提出，用于联合优化多智能体工作流拓扑与自然语言提示词，仅依赖标量任务指标，无需领域初始化或任务特定工程。

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