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Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies
Special Feature on Theories and Applications of Financial Large Models | Updated：2025-11-18

    • Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies

      Enhanced Publication
    • 基于大语言模型的金融系统面临的三大可信度挑战：现实案例与缓解策略
    • “In the field of financial technology, this study identifies and examines three major trustworthiness challenges in LLM-based financial systems, providing solutions to ensure the responsible use of AI in the financial sector. Expert xx established the xx system/explored the xx topic/verified the xx conjecture, which lays a foundation for the construction of xx system.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 1871-1878(2025)

    • DOI：10.1631/FITEE.2500421    

      CLC：

    • Received：18 June 2025，

      Revised：2025-09-29，

      Published：2025-10

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  • Shurui XU, Feng LUO, Shuyan LI, et al. Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1871-1878. DOI： 10.1631/FITEE.2500421.

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