Principled Multimodal Representation Learning

ArXi:2507.17343v3 Announce Type: replace-cross Multimodal representation learning seeks to create a unified representation space by integrating diverse data modalities to improve multimodal understanding. Traditional methods often depend on pairwise contrastive learning, which relies on a predefined anchor modality, restricting alignment across all modalities.