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When DeepSeek-R1 meets financial applications: benchmarking, opportunities, and limitations
Special Feature on Theories and Applications of Financial Large Models | Updated：2025-11-18

    • When DeepSeek-R1 meets financial applications: benchmarking, opportunities, and limitations

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    • DeepSeek-R1遇上金融应用：基准、机遇与局限
    • “在金融服务领域，推理型大语言模型DeepSeek-R1的研究进展引人注目。专家通过多阶段训练机制，解锁了其高级推理能力，为金融问答任务提供解决方案，同时推出轻量级蒸馏学生模型，提升部署灵活性。本文系统剖析DeepSeek-R1的技术架构与核心原理，并基于两个公开金融问答数据集开展性能基准测试，深入探讨该模型为金融服务带来的创新机遇，客观分析其现存局限性，并前瞻性地提出3个未来研究方向。”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 1862-1870(2025)

    • DOI：10.1631/FITEE.2500227    

      CLC：

    • Received：10 April 2025，

      Revised：2025-04-28，

      Published Online：27 June 2025，

      Published：2025-10

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  • Shuoling LIU, Liyuan CHEN, Jiangpeng YAN, et al. When DeepSeek-R1 meets financial applications: benchmarking, opportunities, and limitations[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1862-1870. DOI： 10.1631/FITEE.2500227.

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