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Research questionHow can question-answering systems answer questions across long, heterogeneous bank reports?Bank reports are lengthy and combine technical prose with numerical disclosures that vary across institutions and jurisdictions. A system must locate relevant evidence and formulate answers when the same indicators are presented inconsistently across documents.
AI
Evaluation & Benchmarks
Finance
Information Retrieval
Natural Language Processing
Retrieval-Augmented Generation
Latest papersRecent research connected to this question, newest first.Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statementsThe evidence comes from FinRAG-QA: 999 practitioner-curated questions covering 10 indicators and 209 reports from 24 European and U.S. banks spanning 2019–2023. It evaluates a multi-stage retrieval-augmented generation pipeline, including retrieval, reranking, context selection, and answer generation; findings are based on models available in late 2024 and early 2025.research paper · Sep 3, 2026
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