About Me

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.

Curriculum Vitae (CV)

Publications

* denotes equal contribution (co-first authors).

• 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
  EMNLP 2026  ·  Oral Presentation
  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
  PaperCode
• Robust Evaluation of Diffusion-Based Adversarial Purification
  Minjong Lee, Dongwoo Kim
  ICCV 2023  ·  Oral Presentation
  PaperCode

Education

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