UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning

Tiancheng Gu, Kaicheng Yang, Kaichen Zhang +6

Universal multimodal embedding models are foundational to various tasks. Existing approaches typically employ in-batch negative mining by measuring the similarity of query-candidat…