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Updated: Jan 16, 2026

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通过视觉语言模型增强基于概念的解释

Imran Hossain1, Ghada Zamzmi1, Peter Mouton2

  • 1Computer Science and Engineering University of South Florida Tampa, Florida, USA.

Proceedings. IEEE International Symposium on Computer-Based Medical Systems
|September 26, 2025
PubMed
概括

本研究引入了一种使用视觉语言模型 (VLMs) 的新方法,以简化用于解释AI模型的概念选择. 该方法产生可理解的图像概念,与自然概念相匹配,没有额外的成本.

关键词:
这是一个基于概念的XAI.深度神经网络 深度神经网络可以解释的可解释性.生成型的人工智能

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