SAGE is the first end-to-end LLM-driven multi-agent fraud detection system using a Data Diagnostic Tree and MDP optimization, achieving 40.86% average F1 gain and winning 96% of comparisons across five datasets and five backbones.
Credit card fraud de- tection using machine learning: A survey.arXiv preprint arXiv:2010.06479, 2020
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SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection
SAGE is the first end-to-end LLM-driven multi-agent fraud detection system using a Data Diagnostic Tree and MDP optimization, achieving 40.86% average F1 gain and winning 96% of comparisons across five datasets and five backbones.