Yadong (Adam) Lu
Senior Researcher / enthusiastic go player

I am a senior researcher at Microsoft Research, Redmond working on efficient pre/post-training methodologies of large vision-language models. Before that I received my Ph.D. degree in Statistics at UC Irvine (advisor: Pierre Baldi).
Check out our recent work on computer use agent OmniParser (ranked #1 Trending repo on GitHub and HuggingFace model hub, 22k+ star so far), and scaling synthetic trajectory data for web agent.
Selected Works
- Arxiv
- CVPR
- ICLRSamba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingICLR 2024
- TMLR
- ArxivAn Empirical Study of Scaling Instruction-Tuned Large Multimodal ModelsNeurIPS, Workshop on Instruction Tuning and Instruction Following NeurIPS
- Arxiv
- NeurIPS
- Patent
- Patent