Heading to ICML 2026
I will be attending the International Conference on Machine Learning this July.
Jun Seong Kim
M.S. Student at KAIST School of Computing
I study how AI systems behave across cultures and contexts—and build benchmarks that make their hidden failures easier to see.
About me
Building more accountable AI.
I am an M.S. student in Computer Science at KAIST, where I work in the U&I Lab with Professor Alice Oh. My research focuses on evaluating AI systems—especially multimodal models—in culturally diverse and real-world settings.
I design datasets and benchmarks that surface hidden model failures, measure robustness, and help make AI systems more transparent and reliable.
Outside research, I enjoy turning ideas into products. I am also the founder of Particall, a social platform designed to help people find others to play games with.
When I am away from a screen, you will usually find me playing guitar, reading, or looking for a better cup of coffee.
What I’m up to
Latest news
Pluralis v0.1 released
Our multicultural, multimodal, and multilingual benchmark for AI risk and reliability is now available on arXiv.
Published at CVPR 2026
World in a Frame explores culture mixing as a new challenge for vision-language models.
Outstanding Paper at C3NLP
When Tom Eats Kimchi received the Outstanding Paper award at C3NLP 2025.