Research on the Application of LLM in Institutional Compliance and Early Warning
Enterprise compliance management faces various challenges in today's business operations. This article proposes a new method for institutional compliance inspection and early warning based on LLM, which aims to focus on enterprise compliance and early warning monitoring as the core, using intelligent LLM technology, combined with artificial intelligence, machine learning and natural language processing technologies, to empower enterprise institutional revision, dynamic management, and execution, establish intelligent tools that adapt to the dynamic and efficient management needs of the system, realize the intelligence of institutional-related business and management, and promote the improvement of the institutional management system, promote lawful and compliant operation, and achieve high-quality development.
Authors
- Jiayuan Li
- Jia Liu (ORCID: https://orcid.org/0000-0001-7895-4339)
- Xiaomeng Liu (ORCID: https://orcid.org/0000-0003-3455-6966)
- Shuyuan Xiang
- Y.L. Zhou
Institutions
- Wanfang Data (China) (CN)
Publication Details
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1145/3728725.3728738
- Primary Topic
- Educational Reforms and Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00