AI RESEARCH
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
arXiv CS.AI
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ArXi:2601.10120v2 Announce Type: replace-cross 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.