معرفی
Wei Zhao is an Assistant Professor in Natural Language Processing at the School of Natural and Computing Sciences, University of Aberdeen, where he also leads research as a Principal Investigator. He is additionally an invited lecturer at Heidelberg University, Germany. His research focuses on evaluation of NLP systems, cross-temporal research, and applications of large language models in science and humanities.
His research interests include:
- Evaluation of Large Language Models
- Diachronic and Cross-Temporal NLP
- AI for Scientific Discovery
- Lexicography and Lexical Semantics
- Machine Translation and Human-AI Collaboration
- Graph-based Representation Learning
The recent articles highlight a strong trend in leveraging LLMs for scientific and linguistic tasks, particularly in evaluation, cross-temporal modeling, and human-AI collaboration. His work spans both theoretical foundations (e.g., graph embedding) and practical applications in translation, lexicography, and scientific content generation.
Scientific awards and recognitions include:
- Outstanding Paper Award at NAACL
- Computing Grant from Google
- Sponsorship from Artificial Intelligence Journal
- Research Catalyst Funding from University of Aberdeen
- Computing Credits from OpenAI
- Research Collaboration Grant from Royal Society of Edinburgh
Wei Zhao actively supervises multiple Master's and Bachelor's students, including Qianchen Luo, Gagan Bhatia, Ran Zhang, and Lydia Körber, among others. He is also co-supervising a PhD student with Steffen Eger. He has served as an Area Chair for ARR, COLING, and CoNLL 2025, and as a reviewer for EPSRC, Leverhulme Trust, and ISPF. His research is funded by Google, OpenAI, Royal Society of Edinburgh, and the Artificial Intelligence Journal.
He leads a vibrant research group focusing on LLMs, cross-temporal bias, evaluation, and NLP for science, with ongoing projects in literary translation, lexicography, and multimodal scientific content.
