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

徐殊睿; 罗凤; 李舒燕; 范梦真; 孙中天

doi:10.1631/FITEE.2500421

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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

专题 | Updated：2025-11-18

- 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
  Enhanced Publication
- Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies
- “在金融技术领域，本研究确定并检查了基于LLM的金融系统中的三个主要可信度挑战，为确保在金融领域负责任地使用人工智能提供了解决方案。xx专家建立了xx体系/探索了xx课题/验证了xx猜想，为xx体系的构建奠定了基础。”
- Frontiers of Information Technology & Electronic Engineering 2025年26卷第10期页码：1871-1878
- Affiliations：
  
  1.School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast BT9 5BN, UK
  2.Department of Computer Science, Rice University, Houston, TX 77005, USA
  3.Peking University HSBC Business School Oxford Campus, England OX1 5HR, UK
  4.School of Computing, University of Kent, Canterbury, Kent CT2 7NZ, UK
- Author bio：
  
  ‡ Corresponding author
- Funds：
- DOI：10.1631/FITEE.2500421
  中图分类号：
- 收稿：2025-06-18，
  
  修回：2025-09-29，
  
  纸质出版：2025-10
- Accepted：
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徐殊睿, 罗凤, 李舒燕, 等. 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[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1871-1878.

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.
徐殊睿, 罗凤, 李舒燕, 等. 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[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1871-1878. DOI： 10.1631/FITEE.2500421.

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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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

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

DOI：10.1631/FITEE.2500421