Research
I am interested in expanding the scope of data utilization through artificial intelligence. Specifically, I am fascinated by topics such as table QA, knowledge retrieval, and multi-modal QA, which focus on extracting meaningful insights from structured and unstructured data. My research explores how AI can enhance information retrieval and reasoning over diverse data formats to improve decision-making and automation.
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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
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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,
Eyn-Saem Choi,
Kyumin Kim,
Sohee Lee,
Ki Hoon Ahn
Scientific Reports, 2024
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