Meta's MoEMB Paper Scales Multimodal Embeddings via Mixture-of-Experts
tomaarsen · x · 2026-09-10
Meta published MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models, proposing to scale universal multimodal embeddings via mixture-of-experts rather than larger embedding dimensions or reasoning tokens. The paper is on arXiv; researchers hope the models will also be open-sourced.
Related event: Meta's MoEMB: 3B Activations Beat 4x Larger Embedding Models(2 posts)→
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