UOT-Gap: A Variational Principle for the Modality Gap in Vision-Language Models via Unbalanced Optimal Transport
UOT-Gap is introduced, a training-free variational diagnostic that models frozen image and text embeddings with unbalanced entropic optimal transport (UOT) and establishes UOT-Gap as a diagnostic for caption quality, modality alignment, and retrieval robustness.