
I am a M.S. student at KAIST AI, advised by Prof. Eunho Yang and working closely with Dr. Viet Lai from Adobe Research. Previously, I received my B.S. degree in Computer Science at KAIST, advised by Prof. Sung-Ju Lee.
My research centers on large language models (LLMs), with a focus on enhancing their reasoning capabilities through reinforcement learning and other post-training techniques. Recently, I have also begun exploring generative modeling, particularly diffusion models for video generation and diffusion-based LLMs.
Outside of research, I’m deeply passionate about cinema and photography. If you ever find yourself in Seoul, feel free to shoot me an email—we could grab a coffee and yap about AI and movies, or head out for some spontaneous photo-taking!
| Apr. 2025 | 🎉 One paper has been accepted to DIS 2025. |
| Feb. 2025 | 🏫 I started my M.S. in MLILAB at KAIST AI. |
| Sep. 2024 | 🎉 One paper has been accepted to NeurIPS 2024. This is my first publication at a top-tier conference. |
| Feb. 2024 | 🎓 I graduated from KAIST with a bachelor's degree in Computer Science. |
| Jun. 2023 | 🏫 I joined KAIST NMSL as a research intern. |
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
In Submission
Paper
Website
Design Opportunities for Explainable AI Paraphrasing Tools: A User Study with Non-native English Speakers
†Equal senior role
DIS 2025
Paper
(FL)2: Overcoming Few Labels in Federated Semi-Supervised Learning
NeurIPS 2024
Paper
Website
Code
Magna Cum Laude
Graduated with GPA 3.98/4.30, ranked top 10 in School of Computing, KAIST (2024).
KAIST–Qualcomm Innovation Award
Recognized as one of the top-performing teams in the KAIST–Qualcomm AI Hackathon (2023).
Dean’s List
Awarded to the top 3% of 2,900+ students in the College of Engineering, KAIST (2020).
KAIST International Undergraduate Scholarship
Full tuition and living support for the entire B.S. program (2019–2024).
Vietnam Mathematical Olympiad
Silver Medalist, VMO (2018).