RESEARCH · GLOBAL
arXiv: Bridging Language Models and Financial Analysis—survey of LLM gaps
Survey paper maps the gap between LLM capabilities and practical financial analysis: financial data spans text (earnings calls), tables (balance sheets), and charts (candlesticks). LLMs struggle with multi-modal integration; paper catalogs research directions for unified financial AI.
WHY IT MATTERS
Identifies why LLM-powered equity research and credit underwriting pilots often stall: models can't reliably extract meaning from mixed-format financial documents. BFSI teams should expect 12-18 months of custom fine-tuning before production-grade multi-modal analysis.
Source: arXiv · 2026-05-21