Chain-of-Anomaly Thoughts with Large Vision-Language Models

This article likely discusses a novel approach to anomaly detection using large vision-language models (LVLMs). The title suggests the use of 'Chain-of-Thought' prompting, but adapted for identifying anomalies. The focus is on integrating visual and textual information for improved anomaly detection capabilities. The source, ArXiv, indicates this is a research paper.