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arXiv AI By Songwei Dong, Bingyan Lu, Makayla Kienlen, J. Nicholas Laneman, Cong Shen

SpecMind: Enabling Spectrum Intelligence via Multi-Agent Hybrid Retrieval-Augmented Generation

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SpecMind is a Multi-Agent Retrieval-Augmented Generation system designed to support spectrum intelligence by reasoning over heterogeneous data sources such as policy proceedings, legal regulations, and license databases. The system coordinates specialized sub-agents that retrieve and synthesize knowledge, enabling autonomous agents to handle diverse query types. SpecBench, a Q&A dataset based on real-world license records and policy proceedings, was created to evaluate RAG systems in the spectrum domain, and experimental results show SpecMind outperforms traditional RAG systems with over an 80% win rate against strong baselines.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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