SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems
This paper introduces SCoOP, a training-free framework that quantifies uncertainty in Vision-Language Model systems to detect hallucinations and improve reli...