Yuan Wu
Associate Professor, School of Artificial Intelligence, Jilin University
School of Artificial Intelligence
Jilin University
I am a pre-tenured associate professor at the School of Artificial Intelligence, Jilin University. My research interests include natural language processing, large language models, LLM evaluation, and LLM post-training.
I received my Bachelor degree from Beijing University of Chemical Technology, my Master degree from Lanzhou University, advised by Prof. Lian Li, and my Ph.D. from Carleton University, advised by Prof. Ahmed El-Roby and Prof. Diana Inkpen.
My group studies reliable, efficient, and trustworthy methods for building and evaluating large language models. I welcome inquiries from undergraduate and graduate students interested in natural language processing, LLM evaluation, post-training, domain adaptation, and trustworthy AI.
Research Interests
- Large language model evaluation and benchmarking
- LLM post-training and parameter-efficient fine-tuning
- Trustworthy and reliable language models
- Domain adaptation and generalization for NLP
- Instruction following and model self-evaluation