💡 Check out our implicit CoT paper "CIRF"
‘CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models’ now available on arXiv! Collaborated with HUFS team 🦉
Professional Summary
I am a postdoctoral associate at Boston University, working with Prof. Najoung Kim and Prof. Sebastian Schuster. I received my Ph.D. from Korea University, advised by Prof. Pilsung Kang. During my Ph.D, I was research intern at NAVER and contributed to CLOVA for Writing. I completed my B.S. at HUFS, advised by Prof. Chungmok Lee
My research focuses on LLM evaluation, aiming to discover, measure, understand, and improve the capabilities of language models. My long-term research vision is to establish a science of evaluation for language models. I like to think about what makes evaluation reliable and what it truly tells us about these models. I am also interested in LLM agents that autonomously solve complex problems in research and engineering, and how to reliably evaluate them.
Education
PhD Industrial Management & Engineering
Korea University
BSc Industrial Management & Engineering, BA International Finance (Double Major)
HUFS
Interests
Language Model Evaluation
Benchmark Design
LLM Agent
Writing with AI
Anomaly Detection
Recent News
🎉 "Can Structural Cues Save LLMs?" has been accepted to KDD 2026!
Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams. Collaboration with Korea University team 🐯
🎉 RExBench has been accepted to ACL 2026!
RExBench, Can coding agents autonomously implement AI research extensions?
🎉 Co-organizing the "AI Modeling for Disappearing Knowledge" workshop at IJCAI 2026.
Please consider submitting your work :)
Selected Publications
For an up-to-date list of publications, check out my Google Scholar.
* denotes equal contribution, † denotes equal contribution as senior role.