Data-driven simulation for general purpose multibody dynamics using deep neural networks. - Hee-Sun Choi; Junmo An; Jin-Gyun Kim; Jae-Yoon Jung; Juhwan Choi; Grzegorz Orzechowski; Aki Mikkola; Jin-Hwan Choi (CoRR, 2019)

Generative Data Augmentation via Wasserstein Autoencoder for Text Classification. - Kyohoon Jin; Junho Lee; Juhwan Choi; Soojin Jang; Youngbin Kim (ICTC, 2022)

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)

GPTs Are Multilingual Annotators for Sequence Generation Tasks. - Juhwan Choi; Eunju Lee 003; Kyohoon Jin; YoungBin Kim (EACL (Findings), 2024)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. - Juhwan Choi; Yeonghwa Kim; Seunguk Yu; Jungmin Yun; Youngbin Kim (EMNLP, 2024)

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. - Juhwan Choi; Jungmin Yun; Kyohoon Jin; Youngbin Kim (EMNLP, 2024)

Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. - Juhwan Choi; YoungBin Kim (Tiny Papers @ ICLR, 2024)

Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. - Juhwan Choi; YoungBin Kim (Tiny Papers @ ICLR, 2024)

Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. - Seunguk Yu; Juhwan Choi; YoungBin Kim (NAACL-HLT (Findings), 2024)

VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks. - Juhwan Choi; Junehyoung Kwon; Jungmin Yun; Seunguk Yu; YoungBin Kim (CoRR, 2024)

Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games. - Juhwan Choi; YoungBin Kim (CoRR, 2024)

SummPilot: Bridging Efficiency and Customization for Interactive Summarization System. - Jungmin Yun; Juhwan Choi; Kyohoon Jin; Soojin Jang; Jinhee Jang; YoungBin Kim (AAAI, 2025)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models. - Kyeonghyun Kim; Jinhee Jang; Juhwan Choi; Yoonji Lee; Kyohoon Jin; YoungBin Kim (ACL (1), 2025)

Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models. - Seunguk Yu; Juhwan Choi; YoungBin Kim (ACL (1), 2025)

See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias. - Junehyoung Kwon; Mihyeon Kim; Eunju Lee 003; Juhwan Choi; YoungBin Kim (NAACL (Long Papers), 2025)

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)

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)