Researcher · Microsoft Research
Xiaodong Liu
Leading large language model research at Microsoft Research across pre-training, post-training, reasoning, and safety alignment.
Built model families including MT-DNN, DeBERTa, UniLM, METRO, and Phi powering Translator, Bing, Azure Cognitive Search, Precision Health, and Microsoft 365 Copilot, empowering millions and billion users.
LLM pre-training
Post-training
Long-context reasoning
AI safety
Alignment
Biomedical NLP
Research
Current work spans AI safety, scalable training, long-context modeling, and foundation models that ship at Microsoft scale.
Current Focus
- LLM pre-training and post-training
- Long-context reasoning and efficient training
- Safety alignment and adversarial robustness
- Multimodal and biomedical NLP systems
Service
- Senior Area Chair
- NeurIPS 2026
- ICML 2026
- COLING 2025
- NeurIPS 2025
- ...