Noah Lee

MS Student @ KAIST AI


I am a Master Student at the Kim Jaechul Graduate School of AI of KAIST, jointly advised by James Thorne and Jinwoo Shin. Before joining KAIST, I was a Research Intern at Naver CLOVA where I conducted research on Recommender Systems. Before that, I received my Bachelor’s degree in Statistics in Korea University.

My current main research interest lies in (but not confined to):

  • Bettering human representation of LLMs
  • Uncertainty-aware systems for reliable and safe AI usage
  • Personalization & customization of LLMs

Feel free to get in touch!


Jun 10, 2024 Check out our recent preprint MaPO and its blog post
Apr 15, 2024 Check out our largest ORPO Checkpoint Zephyr 141B-A39B.
Mar 12, 2024 Check out our recent preprint ORPO and its blog post


  1. mapo.png
    Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
    Jiwoo Hong*, Sayak Paul*, Noah Lee, and 3 more authors
    arXiv e-prints, 2024
  2. orpo.png
    ORPO: Monolithic Preference Optimization without Reference Model
    Jiwoo Hong, Noah Lee, and James Thorne
    Preprint, 2024
  3. humllm.png
    Can Large Language Models Capture Dissenting Human Voices?
    Noah Lee*, Na Min An*, and James Thorne
    EMNLP, 2023