---
id: 20260302-T0-10
title: "智能LLM框架应用于反洗钱负面新闻筛查"
title_en: "Smart LLM Framework Cuts AML News False Positives"
url: https://ai.daily.yangsir.net/daily/20260302-T0-10
issue_date: 2026-03-02
publish_date: 2026-03-02T05:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2602.23373
---

# 智能LLM框架应用于反洗钱负面新闻筛查

研究人员提出基于智能LLM的框架，用于金融反洗钱合规中的负面新闻筛查。该方法解决了传统关键词搜索高误报率的问题，通过语义理解提升筛查准确率，已在多家银行试点应用，降低70%的误报情况。

## English Version

**Smart LLM Framework Cuts AML News False Positives**

Researchers introduced an intelligent LLM framework for financial anti-money laundering compliance news screening. This method addresses traditional keyword search's high false positive rate by enhancing screening accuracy through semantic understanding. Successfully piloted in multiple banks, it reduces false positives by 70%.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2602.23373)

**详情页**：https://ai.daily.yangsir.net/daily/20260302-T0-10

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