Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks 事件

Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks arXiv:2604.19755v2 Announce Type: replace Abstract: Anti-money laundering (AML) transaction monitoring generates large volumes of alerts that must be rapidly triaged by investigators under strict audit and governance constraints. While large language models (LLMs) can summarize heterogeneous evidence and draft rationales, unconstrained generation is risky in regulated workflows due to hallucinations, weak provenance,