2025
AnoLLM: Large Language Models for Tabular Anomaly Detection
ICLR 2025poster
We introduce AnoLLM, a novel framework that leverages large language models (LLMs) for unsupervised tabular anomaly detection. By converting tabular data into a standardized text format, we further adapt a pre-trained LLM with this serialized data, and assign anomaly scores based on the negative lo…