About Me

👋 Hi! My principal research interest is at the intersection of Language Models and Agentic Behaviour. [P1] I am currently working on efficient and effective LM reasoning training; but nevertheless interested in a wide range of open problems. My past works make [C1] multi-agents more generalizable and significantly more reliable; and [W1] improves agents in noisy environments. I have also made an [C2] agentic LLM-as-a-Judge framework for scalable LM-based (multi-modal) chart generation, with robust improvements across 27B, 70B, and frontier-level LMs. In the past, I worked on [J1] personalization and user-centric machine learning; and [W2] improving time-series representation learning under non-stationarity.

I am perfectly bilingual in English and Korean. I love to chat about research and downstream impact; feel free to reach out to me via email 📧.