Work

Research on the Application of LLM in Institutional Compliance and Early Warning

Year: 2025
Type: conference-paper
Abstract: 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: Xiaomeng Liu, Jia Liu, Jiayuan Li, Yong Zhou, Shengchang Xiang
Language: English
Open Access status: hybrid
OpenAlex ID: W4411016338
FWCI:
Cites: 1
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Related to: 10