Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings

A new arXiv paper introduces a method that grounds chain-of-thought reasoning in retrieved evidence to improve universal multimodal embeddings, which aim to represent text, images and other modalities in one shared space. The authors argue that reasoning steps should be tied to retrieval so that only relevant information shapes the final embedding. The work targets a single model that can handle a range of cross-modal retrieval tasks.