VLM2Vec & MMEB: Benchmarking multimodal embeddings and adapting state-of-the-art multimodal large language models into embedding models.

• Website - https://tiger-ai-lab.github.io/VLM2Vec/

• Github https://github.com/TIGER-AI-Lab/VLM2Vec

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)