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most citedEnhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework

7 citations · 7 across the 4 of their papers we have counts for

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q-fin.RM2024★ 7 cited

Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework

Taejin Park

This paper introduces a Large Language Model (LLM)-based multi-agent framework designed to enhance anomaly detection within financial market data, tackling the longstanding challen…