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Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
用高斯过程提升大型视觉语言模型的语义不确定性量化能力,带来更可靠的评估方法。
arXiv:2512.14177v3 Announce Type: replace Abstract: Large Vision-Language Models (LVLMs) often produce plausible but unreliable outputs, making robust…