Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
This work proposes a two stage detection framework that first identifies suspicious conversations using a tailored ensemble classification model and compares its modular approach against a Dual LLM baseline that performs detection and judgment using different language models.