Author

Sunil Gupta

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Preprint Aug 2026

LLM as Detector: An In-context Learning Approach for Tabular Anomaly Detection

LLM-Detector is proposed, a framework that utilizes the in-context learning capacity of LLMs for structured, prompt-conditioned scoring synthesis, enabling LLMs to derive anomaly detection logic from structured normal-state knowledge.

Tu Nguyen, Dang Nguyen, T. Le et al. · 0 citations