I'm a M.S. student in Artificial Intelligence at Sogang University, advised by Prof. Junsuk Choe. I received the Bachelor of Science in Computer Science and Engineering with Magna Cum Laude from Sogang University in 2024.
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). Also, I have developed a growing interest in model explainability, as understanding 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.
News
11/2025: 🏆 Granted AI SeoulTech Graduate Scholarship by Seoul Scholarship Foundation ($3.5K).
09/2025: 1 paper accepted @ NeurIPS 2025.
07/2025: 1 paper accepted @ COLM 2025.
01/2025: Served as a visiting scholar at the Tübingen AI Center (Host: Prof. Dr. Seong Joon Oh).
03/2024: 🏆 Granted Digital Human & Entertainment Scholarship by Smilegate ($27K).
03/2024: 🏆 Granted Albatross Fellowship by Sogang University ($21K, top 10% rank honor).
Publications
*Co-first Authors, †Co-corresponding Authors
❐ Enhancing Multi-Image Understanding through Delimiter Token Scaling
Minyoung Lee, Yeji Park, Dongjun Hwang, Yejin Kim, Seong Joon Oh, Junsuk Choe.
Preprint.
[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.