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 and responsible. Specifically, I am interested in machine unlearning. Machine unlearning seeks to selectively remove the influence of specific data to protect user privacy and copyright. Recently, I have been exploring unlearning techniques in both large language models (LLMs) and large vision-language models (LVLMs).
News
09/2025: 1 paper accepted to NeurIPS 2025.
07/2025: 1 paper accepted to COLM 2025.
01/2025: served as a visiting scholar at the Tübingen AI Center (Host: Prof. Dr. Seong Joon Oh).
Publications
*Co-first Authors, †Co-corresponding Authors
[2] OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
Dongjun Hwang, Yejin Kim, Minyoung Lee, Seong Joon Oh, Junsuk Choe.
NeurIPS 2025.
[1] Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Yejin Kim*, Eunwon Kim*, Buru Chang†, Junsuk Choe†.
COLM 2025.
Work Experience
Visiting scholar, Tübingen AI Center (Host: Prof. Dr. Seong Joon Oh), Germany (Jan. 2025 - Feb. 2025)
HCI research intern in Center for Intelligent & Interactive Robotics, Korea Institute of Science and Technology, Korea (Jun. 2023 - Aug. 2023)
Awards & Honors
Albatross Fellowship ($21K, top 10% rank honor), Sogang University, Korea (Mar. 2024 - Feb. 2026)
Digital Human & Entertainment Scholarship ($27K), Smilegate, Korea (Mar. 2024 - Feb. 2026)
Excellence prize (team BIROSO), SUAPC 2022 Winter - Algorithm Competition, Korea (Feb. 2022)