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FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- FinSAgent, a multi-agent framework using retrieval-augmented generation, answers questions about SEC filings by aligning queries with document structure and separating semantic similarity from evidential validity.
- 为何重要
- Financial analysts and engineers building QA systems over regulatory documents need better retrieval that respects filing structure and avoids false positives from semantic matching alone.
- 注意
- The framework's effectiveness depends on understanding SEC filing structure; generalization to other document types or regulatory regimes remains unclear from this research.
收听本摘要
- agent
- rag
- retrieval
- multi-agent
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