Younwoo (Ethan) Choi
ywchoi [at] cs [dot] toronto [dot] edu
I am a Master's student in Computer Science at the University of Toronto and the Vector Institute, where I have the privilege of working under the supervision of Professor. Rahul G. Krishnan. I received my Honours Bachelor of Science (HBSc) in Computer Science from the same university.
My research focuses on Large Language Models (LLMs). I am particularly interested in developing and improving methodologies in fine-tuning, Reinforcement Learning from Human Feedback (RLHF), and inference. I am also interested in mechanistic interpretability, aiming to understand and analyze the inner workings of transformers.
Prior to my current studies, I was a Research Intern at Noah's Ark Lab, Huawei Canada, where I worked on diffusion models.
Papers
Teaching LLMs How to Learn with Contextual Fine-TuningYounwoo Choi*, Muhammad Adil Asif*, Ziwen Han, John Willes, Rahul G. Krishnan International Conference on Learning Representations (ICLR 2025) |
Personalized Adaptation via In-Context Preference LearningAllison Lau, Younwoo Choi*, Vahid Balazadeh*, Keertana Chidambaram*, Vasilis Syrgkanis, Rahul G. Krishnan NeurIPS 2024 Workshop on Adaptive Foundation Models |
DICE: Diverse Diffusion Model with Scoring for Trajectory PredictionYounwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, Amir Rasouli IEEE Intelligent Vehicles 2024 |
*Equal contribution.
Teaching
Teaching Assistant
- CSC311: Introduction to Machine Learning (Summer 2025)
- CSC311: Introduction to Machine Learning (Winter 2025)
- CSC311: Introduction to Machine Learning (Fall 2024)