I am a research engineer at Suresoft Technologies. I received my M.S. in Artificial Intelligence from KAIST, where I was advised by Edward Choi.

My research focuses on benchmarking and evaluating large language models — including their robustness to linguistic variation, alignment with cultural and social values, and perception-level agreement with humans. I am broadly interested in how we measure and improve the trustworthiness of AI systems.

Current
Research Engineer
Suresoft Technologies · AIV Lab · Seongnam, South Korea
Mar – Aug 2021
Research Intern
NCSOFT · Language AI Search Team · Seongnam, South Korea
2025
Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
Jiyoung Lee*, Seungho Kim*, Jieun Han, Jun-Min Lee, Kitaek Kim, Alice Oh, Edward Choi
Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track
2024
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
Jiyoung Lee*, Minwoo Kim*, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee, Edward Choi
Findings of the Association for Computational Linguistics (ACL)
2023
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception
Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O-Kil Kwon, Edward Choi
Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track
2022
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records
Daeyoung Kim, Seongsu Bae, Seungho Kim, Edward Choi
Proceedings of the Conference on Health, Inference, and Learning (CHIL)
2025
M.S., Artificial Intelligence
KAIST · Seongnam, South Korea
Advisor: Edward Choi
2023
B.S., School of Computing
KAIST · Daejeon, South Korea
Semiminor in Artificial Intelligence Dean's List Award, Fall 2020 — top 3% of students

I'm always happy to connect — whether it's about research, collaboration, or just a chat.