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Open access 2026

DefectCoT: Evaluation and Analysis of Interpretability Reasoning Capability for Multimodal Large Language Models in Power Equipment Defect Detection

Accurate detection of power equipment defects is a critical link in ensuring the safe operation of power grids. With the rapid advancement of Multimodal Large Language Models (MLLMs), general-purpose Vision Language Models (VLMs) have demonstrated strong capabilities in natural image understanding. Nevertheless, in the...

Min-Sheng Yang, Cheng Xie, Jun-Jie Huang et al. · 0 citations

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