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VLM2Vec & MMEB: Benchmarking multimodal embeddings and adapting state-of-the-art multimodal large language models into embedding models.
List of Our Papers
Main VLM2Vec / MMEB Series
- VLM2Vec / MMEB – Image embedding benchmarking and models. (ICLR2025)
- VLM2Vec-V2 / MMEB-V2 – Extension of our previous work to video and visual document tasks. (TMLR2026)
Other Related Papers from Our Team
- GAE-Retriever – Benchmark and model for trajectory modeling in GUI environments. (Computer-use Agents@ICML 2025)
- B3 – A novel batch mining strategy for contrastive learning. (Neurips2025)