一拍即合：让多智能体系统自动生成多样通信拓扑，提速降耗。
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
- 不靠反复对话，一次生成复杂多样的通信结构。
- 节省46.41%令牌消耗，任务性能提升1.50%。
- 适合异构智能体协作，去中心化设计更安全高效。
在基于大模型的多智能体系统中，优化通信拓扑对实现集体智能至关重要。现有方法主要依赖时空交互范式，多轮对话导致高延迟与高计算开销。受评估与辩论机制可提升多智能体问题求解能力的启发，我们提出TopoDIM框架，实现多样交互模式的一次性拓扑生成。该框架支持去中心化执行，增强适应性与隐私保护，使智能体无需迭代协调即可自主构建异构通信结构，实现更高的令牌效率与更好的任务表现。实验表明，TopoDIM相比当前最优方法，总令牌消耗减少46.41%，平均性能提升1.50%。此外，该框架在组织异构智能体通信方面展现出强适应性。代码已开源：https://github.com/Sundiasy/TopoDIM。
原文摘要 · Abstract (English)
Optimizing communication topology in LLM-based multi-agent system is critical for enabling collective intelligence. Existing methods mainly rely on spatio-temporal interaction paradigms, where the sequential execution of multi-round dialogues incurs high latency and computation. Motivated by the recent insights that evaluation and debate mechanisms can improve problem-solving in multi-agent systems, we propose TopoDIM, a framework for one-shot Topology generation with Diverse Interaction Modes. Designed for decentralized execution to enhance adaptability and privacy, TopoDIM enables agents to autonomously construct heterogeneous communication without iterative coordination, achieving token efficiency and improved task performance. Experiments demonstrate that TopoDIM reduces total token consumption by 46.41% while improving average performance by 1.50% over state-of-the-art methods. Moreover, the framework exhibits strong adaptability in organizing communication among heterogeneous agents. Code is available at: https://github.com/Sundiasy/TopoDIM.
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