May 12, 2024, 10 a.m. | Sana Hassan


Understanding and mitigating hallucinations in vision-language models (VLVMs) is an emerging field of research that addresses the generation of coherent but factually incorrect responses by these advanced AI systems. As VLVMs increasingly integrate text and visual inputs to generate responses, the accuracy of these outputs becomes crucial, especially in settings where precision is paramount, such […]

The post THRONE: Advancing the Evaluation of Hallucinations in Vision-Language Models appeared first on MarkTechPost.

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