Yejin Kim  [Google Scholar] [Gmail] [CV] [Github] [LinkedIn]

I'm a M.S. student in Artificial Intelligence at Sogang University, advised by Prof. Junsuk Choe.

My research lies in the field of AI Safety, with a particular interest in building models that are both fair, responsible, and transparent. Specifically, I am interested in machine unlearning, which seeks to selectively remove the influence of specific data to protect user privacy, copyright, and data ownership.

Recently, I have been exploring unlearning techniques in both large language models (LLMs) and large vision-language models (LVLMs). In this context, I have also developed a growing interest in model explainability, as understanding why and how a model forgets certain knowledge is crucial for ensuring trustworthy and verifiable unlearning. By combining unlearning and explainability, my goal is to contribute toward safer and more accountable AI systems.