aceFrom General-Purpose Large Language Models to Domain-Specific Financial Models: A Structured Review and Comparative Case Analysis
The use of large language models (LLMs) in finance has expanded rapidly, yet general-purpose systems face recurring problems in high-risk and regulated applications: Unsupported factual generation, weak reasoning across text, tables, charts, and numerical data, and limited traceability of model-assisted decisions. This study conducts a Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA)-informed structured review of 67 studies, principally published between January 2020 and March 2026, wi…
The use of large language models (LLMs) in finance has expanded rapidly, yet general-purpose systems face recurring problems in high-risk and regulated applications: Unsupported factual generation, weak reasoning across text, tables, charts, and numerical data, and limited traceability of model-assisted decisions.
Evidence
- Peer-reviewedFinTech and Sustainable Innovation2026-10-14
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Truvace Impact Record TRV-2026-1419, v1: “From General-Purpose Large Language Models to Domain-Specific Financial Models: A Structured Review and Comparative Case Analysis.” Truvace, 2026-10-15. /record/TRV-2026-1419 (accessed at citation time). sha256 28e6c0302f1e7dcf…
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