Author

Tae-yong Kim

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Open access Jul 2026

LLM-AP: LLM-Based Anomaly Detection with Synthetic Time-Series Data Augmentation

This paper presents a method that addresses the imbalance between normal and anomaly data by transforming time-series data into a structured sentence format and using a large language model to generate and augment diverse anomaly scenarios.

Geunho Lee, Jieun Lee, Tae-yong Kim et al. · Applied Sciences · 0 citations