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Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning

Hui Nie Zhao-hui Long Ze-jun Fang Lu-qiong Gao

Journal of Data and Information Science2025，Vol.10Issue(4)：P.291-315,25.

Journal of Data and Information Science2025，Vol.10Issue(4)：P.291-315,25.DOI:10.2478/jdis-2025-0046

Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning

Hui Nie ¹Zhao-hui Long ²Ze-jun Fang ¹Lu-qiong Gao¹

作者信息

1. Information Management School,Sun Yat-sen University,Guangzhou,China
2. Lingnan College,Sun Yat-Sen University,Guangzhou,China
折叠

摘要

关键词

Financial fraud detection/Large language models/Multimodal data fusion/Interpretable machine learning/Annual report

分类

信息技术与安全科学

引用本文复制引用

Hui Nie,Zhao-hui Long,Ze-jun Fang,Lu-qiong Gao..Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning[J].Journal of Data and Information Science,2025,10(4):P.291-315,25.

基金项目

supported by the 2021 Guangdong Province(China)Science and Technology Plan Project“Research and Application of Key Technologies for Multi-level Knowledge Retrieval Based on Big Data Intelligence”(Project No.2021B0101420004) （China）

the 2022 commissioned project“Cross-border E-commerce Taxation and Related Research”from the State Taxation Administration Guangdong Provincial Taxation Bureau,China. （）

Journal of Data and Information Science

ISSN：2096-157X

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