A survey that taxonomizes foundation-model-based anomaly detection into encoder, detector, and interpreter roles and lists open challenges.
Large language model guided knowl- edge distillation for time series anomaly detection
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Foundation Models for Anomaly Detection: Vision and Challenges
A survey that taxonomizes foundation-model-based anomaly detection into encoder, detector, and interpreter roles and lists open challenges.