MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models.

arXiv:2609.08663v2 Announce Type: replace-cross Abstract: Universal multimodal embedding (UME) increasingly demands encoder's capacity for handling a broad range of tasks and modalities with increased complexity. Prior scaling methods either increase the repre