|
Kyumin Kim I am a Researcher at LG CNS Multi-Modal Intelligence Lab. I received my M.S. in the Graduate School of Artificial Intelligence (GSAI) at POSTECH. During my M.S., I was a member of the Machine Learning and Vision Group advised by Prof. Kwang In Kim. Previously, I received my bachelor's degree in Statistics from Korea University (KU). At LG CNS, I contribute to building a Korean tool-calling benchmark and evaluation infrastructure. My current interests include agentic AI and multimodal intelligence. |
|
ResearchI am interested in agentic AI and multimodal intelligence, with a focus on tool use, evaluation, and reasoning over diverse modalities. Recently, I have been working on building a Korean tool-calling benchmark to measure real-world tool-use capability and reliability. More broadly, I care about enabling AI systems to retrieve, plan, and act over structured and unstructured data. |
|
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
Wonjin Lee*, Kyumin Kim*, Sungjae Lee, Jihun Lee, Kwang In Kim preprint, 2025 arXiv
|
|
|
Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring
Seung-Woo Yang*, Kwang-Sig Lee*, Ju Sun Heo, Eun-Saem Choi, Kyumin Kim, Sohee Lee, Ki Hoon Ahn Scientific Reports, 2024
|
|
You've probably seen this website template before, thanks to Jon Barron. |