Ph.D. Candidate
Statistical Artificial Intelligence Lab
KAIST
cw.kang@kaist.ac.kr
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I am a Ph.D. candidate at the Graduate School of AI, KAIST, affiliated with the SAIL (advisor: Jaesik Choi). My research focuses on explainable AI (XAI) and natural language processing (NLP), with a particular interest in how knowledge is encoded, processed and utilized for reasoning in language models, as well as how it can be effectively extracted. My work spans two key directions: (1) analyzing the internal knowledge representations and mechanisms of language models, and (2) enhancing models by controlling or augmenting knowledge.
An up-to-date list is available on my Google Scholar.