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Zhuo Xiao

2 accepted papers

2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection

ACL 2025finding

Anomaly detection (AD) is an important machine learning task with many real-world uses, including fraud detection, medical diagnosis, and industrial monitoring. Within natural language processing (NLP), AD helps detect issues like spam, misinformation, and unusual user activity. Although large langu…

2025

NLP-ADBench: NLP Anomaly Detection Benchmark

EMNLP 2025

Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively understudied in a natural language processing (NLP) context, limiting its effectiveness in detecting harmful content, phishing