Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal Embeddings
Universal multimodal embedding (UME) learns unified representations across modalities, enabling a single model to support diverse retrieval tasks. Recent methods use Chain-of-Thought (CoT) reasoning to better interpret multimodal inputs before generating embeddings for complex retrieval tasks and further optimize this...
Mingzhou Jiang, Pei-Xi Wu, Hang Cheng et al.
· 0 citations