Yijun Yang

Yijun Yang

A Student in Natural Language Processing

University of Edinburgh


I work as a research assistent in Institute for Language, Cognition and Computation, covering topics on the information extraction. I pursued my post-graduate studies at University of Edinburgh with specific interest in natual language processing. My dissertation project was supervised by Prof Jeff Z. Pan. Prior to my study, I received the First Class Honor of my bachelor’s degree from University of Nottingham, major in Mathematics with Applied Mathematics.

My research interest is on the alignment of external knowledge sources, such as knowledge bases, with the internal knowledge within language models. I am currently engaged in exploring the trustworthy integration of parametric knowledge in language models, as well as the reliable interaction between knowledge graphs and language models.

I am actively looking for a fully-funded PhD position starting in the fall of 2024, primarily in the area of knowledgable and trustworthy Large Language Models. Please feel free to contact me for any possible opportunities!

  • Information (especially factual knowledge) Extraction
  • Knowledge Base Question Answering
  • Representation Learning
  • MSc in Data Science, 2022-2023

    University of Edinburgh

  • BSc in Mathematics with Applied Mathematics, 2020-2022

    University of Nottingham

  • BSc in Mathematics with Applied Mathematics, 2018-2020

    University of Nottingham Ningbo China

Recent Publications

(2023). UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing. NAACL 2024 under peer review.


(2023). EEE-QA: Exploring Effective and Efficient Question-Answer Representations. COLING 2024 under peer review.