UniME Collection UniME is a series of multimodal large language models trained for learning universal multimodal embedding. • 4 items • Updated May 16 • 4
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs Paper • 2412.16855 • Published Dec 22, 2024 • 5
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Paper • 2410.05160 • Published Oct 7, 2024 • 4
VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents Paper • 2507.04590 • Published Jul 7 • 16
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning Paper • 2510.13515 • Published 15 days ago • 11
SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model Paper • 2510.12709 • Published 16 days ago • 10