About Me (CV)

I am a Ph.D. candidate in the Machine Learning Lab at POSTECH, advised by Prof. Dongwoo Kim. My research interests include generative models (e.g., diffusion models), LLMs, and VLMs. My goal is to develop practical methods that bring AI closer to real-world applications.

Publications

In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning
Youngbin Choi*, Minjong Lee*, Saemi Moon, Seunghyuk Cho, Chaehyeon Chung, MoonJeong Park, Dongwoo Kim
Arxiv
Paper

CoPL: Collaborative Preference Learning for Personalizing LLMs
Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim
EMNLP 2025
Paper

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon*, Minjong Lee*, Sangdon Park, Dongwoo Kim
ICCV 2025
Paper | Code

Robust Evaluation of Diffusion-Based Adversarial Purification
Minjong Lee, Dongwoo Kim
ICCV 2023 (Oral Presentation)
Paper | Code

Education

• Ph.D. in Computer Science and Engineering from POSTECH (2022 ~)
• B.S. in Computer Science from Kookmin university (2018 ~ 2021)