SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. - Juhwan Choi; Kyohoon Jin; Junho Lee; Sangmin Song; YoungBin Kim (Tiny Papers @ ICLR, 2023)

Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. - Kyohoon Jin; Junho Lee; Juhwan Choi; Sangmin Song; Youngbin Kim (LREC/COLING, 2024)

AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. - Juhwan Choi; Kyohoon Jin; Junho Lee; Sangmin Song; YoungBin Kim (EACL (Student Research Workshop), 2024)

Rational Text Augmentation Method with Korean Misspellings. - Seunguk Yu; Sangmin Song; Youngbin Kim (ICCE, 2024)

Korean football in-game conversation state tracking dataset for dialogue and turn level evaluation. - Sangmin Song; Juhyoung Park; Juhwan Choi; Junho Lee; Kyohoon Jin; Youngbin Kim (Eng. Appl. Artif. Intell., 2025)

Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis. - Jea Woog Lee; Sangmin Song; JungMin Yun; Doug Hyun Han; YoungBin Kim (PeerJ Comput. Sci., 2025)

Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models. - Sangmin Song; Juhwan Choi; JungMin Yun; YoungBin Kim (CoRR, 2025)