Seeing or Guessing? Los Alamos Method Helps Expose Hallucinations in Vision-Language AI
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Vision-language models are AI systems that combine image analysis with large-language models. These widely used AI systems have a persistent problem: hallucinations, or outputs that describe objects that are inconsistent with, or absent from, the input image.Los Alamos National Laboratory researchers have developed the Prelim Attention Score (PAS), a tool that helps detect whether a model's output is grounded in the image or driven too strongly by its own generated text. 
