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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

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arXiv: Bridging Language Models and Financial Analysis—survey of LLM gaps — ath