An LLM-powered triaging agent for banking fraud reports uses multi-turn conversations and synthetic customer simulations to achieve a 30.6% increase in classification accuracy over prior methods.
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Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes
An LLM-powered triaging agent for banking fraud reports uses multi-turn conversations and synthetic customer simulations to achieve a 30.6% increase in classification accuracy over prior methods.