Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume explores UMPIRE offers a training-free framework for uncertainty quantification in MLLMs using incoherence-adjusted semantic volume for error detection and uncertainty calibration.. Commercial viability score: 5/10 in AI Reliability.