Explainable Factual Reasoning Lab @ KAIST

Our mission is to:

  • Develop innovative techniques for extracting, modeling, and explaining the factual knowledge captured by large-scale language models.
  • Investigate the potential biases, errors, and limitations of large-scale language models, and develop strategies for ensuring the accuracy and reliability of their factual reasoning.
  • Apply our research to real-world problems and domains, such as healthcare, law, and finance, in order to improve decision-making and increase the transparency and accountability of complex systems.


We are located in the KAIST AI Graduate School on the Seoul Campus on the 4th floor. Come say hi!

Address: Kim Jaechul AI Graduate School, Building 9, Hoegi-ro 85, Dongdaemun-gu, Seoul, South Korea
(서울 동대문구 회기로 85 김재철 AI 대학원 9호관 4층)

Lab Members

James Thorne

Principle Investigator

Huzama Ahmad

PhD Student (co-advised)

Euiyul Song

Master's Student

Minsu Kim

Master's Student

Yejin Cho

Master's Student

Woojin Chung

Master's Student (co-advised)

Philhoon Oh

Master's Student

Noah Lee

Master's Student

Jiwoo Hong


Sangryul Kim

Master's Student

Yejoon Lee


Na Min An

Master's Student