SAIL (UNIST) team Participation in KBP 2016 Cold-Start Slot filling. - Seongwoo Lim; Jiyeon Han 001; Kyowoon Lee; Jaesik Choi (TAC, 2016)

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. - Jiyeon Han 001; Kyowoon Lee; Anh Tong; Jaesik Choi (IJCAI, 2019)

Why Do Masked Neural Language Models Still Need Common Sense Knowledge? - Sunjae Kwon; Cheongwoong Kang; Jiyeon Han 001; Jaesik Choi (CoRR, 2019)

Automatic Correction of Internal Units in Generative Neural Networks. - Ali Tousi; Haedong Jeong; Jiyeon Han 001; Hwanil Choi; Jaesik Choi (CVPR, 2021)

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. - Haedong Jeong; Jiyeon Han 001; Jaesik Choi (AAAI, 2022)

Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering? - Sunjae Kwon; Cheongwoong Kang; Jiyeon Han 001; Jaesik Choi (CoRR, 2022)

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. - Jiyeon Han 001; Hwanil Choi; Yunjey Choi; Junho Kim; Jung-Woo Ha 001; Jaesik Choi (ICLR, 2023)

Diverse Rare Sample Generation with Pretrained GANs. - Subeen Lee; Jiyeon Han 001; Soyeon Kim; Jaesik Choi (AAAI, 2025)

Enhancing Creative Generation on Stable Diffusion-based Models. - Jiyeon Han 001; Dahee Kwon; Gayoung Lee; Junho Kim; Jaesik Choi (CVPR, 2025)