Agentic Retrieval-Augmented Generation for Financial Document Question Answering
arXiv:2605.05409v1 Announce Type: cross
Abstract: Financial document question answering (QA) demands complex multi-step numerical reasoning over heterogeneous evidence–structured tables, textual narratives, and footnotes–scattered across corporate f…