most citedAD-LLM: Benchmarking Large Language Models for Anomaly Detection

3 citations · 4 across the 3 of their papers we have counts for

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cs.CL2024★ 3 cited

AD-LLM: Benchmarking Large Language Models for Anomaly Detection

Tiankai Yang, Yi Nian, Shawn Li +9

Anomaly detection (AD) is an important machine learning task with many real-world uses, including fraud detection, medical diagnosis, and industrial monitoring. Within natural lang…

cs.CL2024

NLP-ADBench: NLP Anomaly Detection Benchmark

Yuangang Li, Jiaqi Li, Zhuo Xiao +4

Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively underst…