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Paper · arXiv

WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search

Large language model (LLM)-based web search agents are transforming information seeking from simple factoid question answering into complex, deep-and-wide search and research-oriented tasks. A single ReAct-style agent is constrained by one long trajectory and limited context, making it difficult to handle depth and coverage simultaneously. Existing multi-agent systems improve search coverage through parallel execution and aggregation, but still exhibit clear limitations in recursive depth, collaboration adaptability, and evidence-grounded expansion. We propose WebSwarm, a progressive recursive delegation framework that jointly constructs task decomposition, recursive expansion, and agent ...

AuthorsXiaoshuai Song, Liancheng Zhang, Kangzhi Zhao et al.
Primary categorycs.CL
Published9 July 2026
Last updated at source9 July 2026
cs.CLcs.AIcs.MA
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