AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping

The article introduces AuditCopilot, a system that uses Large Language Models (LLMs) for fraud detection in double-entry bookkeeping. The source is ArXiv, indicating it's a research paper. The core idea is to apply LLMs to analyze financial data and identify potential fraudulent activities. The effectiveness and specific methodologies employed would be detailed within the paper itself, which is typical for research publications.

• •AuditCopilot utilizes LLMs for fraud detection.
• •Focuses on double-entry bookkeeping.
• •The research is published on ArXiv.