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Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
Large Vision-Language Models (LVLMs) often produce plausible but unreliable outputs, making robust uncertainty estimation essential. Recent work on semantic uncertainty estimates relies on external models to cluster multiple sampled responses and measure their semantic consistency. However, these cl
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