Kyubyung Chae

I am a Ph.D. student in Data Science at Seoul National University, under the guidance of Taesup Kim. I completed my Master's studies in the same graduate school and am affiliated with LAAL. Before pursuing my Master's degree, I served as a Data Scientist at LG CNS. I obtained my Bachelor's degree in the Department of Applied Statistics from Yonsei University.

Email / Google Scholar / Github / LinkedIn

Research

My research interests span representation learning, and transfer learning, especially at the intersection of uncertainty (probability) and machine learning.

Publications

	Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim. Findings of the Association for Computational Linguistics: NAACL, 2024 Arxiv / Code
	Uncertainty-Guided Online Test-time Adaptation via Meta-Learning Kyubyung Chae, Taesup Kim. ICML Workshop on Spurious Correlations, Invariance, and Stability, 2023 Poster / Code / Workshop

Work Experience

LG CNS, Seoul, Data Science Specialist, Aug 2018 - Feb 2022 · 3 yrs 7 mos

Education

Master's degree, Seoul National University, Data Science, Mar 2022 - Feb 2024
Bachelor's degree, Yonsei University, Applied Statistics, Mar 2011 - Feb 2018

Honors and Awards

Creativity Award, K-DataScience Conference, 2023
Minister of Science & ICT Award, ETRI Self-improving AI Contest, 2022
Best Award for web projects in LG CNS, 2018
MVP in New recruits of LG, 2018

The source of this website is from here.