FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering
2.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.18102.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryFinSAgent is a multi-agent RAG framework for financial question answering over SEC filings, featuring role-specialized agents mapped to 10-K item structure, database-aware query decomposition, and a feature-gated reranker separating evidential validity from semantic similarity. Outperforms baselines on five benchmarks and a 1,000-user online study.
Why it mattersSpecifies a concrete multi-agent architecture with corpus-side conditioning and a reranker that decouples evidence from similarity — useful reference for domain-specific RAG builders.
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