FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering

За 30 секунд

Что произошло

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.

Почему это важно

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.

На что обратить внимание

The framework's effectiveness depends on understanding SEC filing structure; generalization to other document types or regulatory regimes remains unclear from this research.