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Zayed University of Artificial Intelligence
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Systematic variability in expert annotations can be effectively modeled, leading to personalized segmentation outputs that outperform traditional methods.
Hallucinated tokens in LVLMs betray themselves through diffuse attention patterns and a failure to semantically align with any specific image region, enabling highly accurate detection.
