Last update: February 2026

Introduction

👋 My name is Quang-Minh (I go by Minh too). I am a second-year master’s student at KAIST Graduate School of Data Science, where I work with Professor Taegyoon Kim. I previously obtained my bachelor’s degree from KAIST with a double major in Electrical Engineering ⚡ and Mathematical Sciences 🧮.

I am curious about AI interpretability and safety 🤖. This encompasses many big questions, both behavioural and representational, from how models handle fundamental concepts (truth, stance, difficulty, beliefs, etc.) to high-stakes applications involving social-political threats.

If you are interested in collaboration, please don’t hesitate to reach out. Feel free to email me, or we can grab coffee if you pop by Daejeon!

News

• February 2026: Our paper “LLMs Exhibit Performative Fairness When Generating Profiles with Complex Geopolitical Identities” has been accepted to the Student Research Workshop at EACL 2026! Stay tuned for the preprint.
• September 2025: I will present our ongoing work, “Investigating Difficulty Perception in the Reasoning of LLMs”, at the MathNLP Workshop at EMNLP 2025! Let’s connect in Suzhou.
• May 2025: Our paper “Is External Information Useful for Stance Detection with LLMs?” has been accepted to the 🎊Findings of ACL 2025🎊! I’ll be in Vienna to present; come say hi if you’ll be there too!
• August 2024: I graduated from the undergraduate program at KAIST and will continue my journey here as a master’s student.

Miscellaneous

I enjoy learning about history 📜, especially East Asian history, as well as playing musical instruments 🎵 (I play the piano, guitar, ukulele, and harmonica). I have a YouTube channel here where I post music covers and presentations for my course projects. Check it out if you are interested!