Decoupled Specialist Fusion

Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding

arXiv:2606.09331v1 Announce Type: new Abstract: Omni-modal retrieval promises a single embedding space for text, image, video, document, and audio inputs, but building such a unified retriever is difficult since these modalities differ in data distribution, architecture, and optimization dynamics. In this work, we present Conan-embedding-v3, a decouple--fuse--recover framework for omni-modal retrieval. Conan-embedding-v3 first trains modality specialists independently and fuses their task...