Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
arXiv:2602.24195v1 Announce Type: new Abstract: Despite their capabilities, Multimodal Large Language Models (MLLMs) may produce plausible but erroneous outputs, hindering reliable deployment. Accurate uncertainty metrics …
Gregory Kang Ruey Lau, Hieu Dao, Nicole Kan Hui Lin, Bryan Kian Hsiang Low
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