| 2026 | ACL | FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation. | Jinhee Jang, Juhwan Choi, Dongjin Lee, Seunguk Yu, YoungBin Kim |
| 2026 | EACL | Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process? | Juhwan Choi, JungMin Yun, Changhun Kim, YoungBin Kim |
| 2025 | AAAI | SummPilot: Bridging Efficiency and Customization for Interactive Summarization System. | Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim |
| 2025 | ACL | 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 |
| 2025 | ACL | Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models. | Seunguk Yu, Juhwan Choi, YoungBin Kim |
| 2025 | EMNLP | CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples. | Kyohoon Jin, Juhwan Choi, Jungmin Yun, Junho Lee, Soojin Jang, YoungBin Kim |
| 2025 | EMNLP | Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models. | Sangmin Song, Juhwan Choi, JungMin Yun, YoungBin Kim |
| 2025 | ICCV | VolDoGER: LLM-Assisted Datasets for Domain Generalization in Vision-Language Tasks. | Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim |
| 2025 | NAACL | See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias. | Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim |
| 2024 | COLING | 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 |
| 2024 | EACL | AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |
| 2024 | EACL | GPTs Are Multilingual Annotators for Sequence Generation Tasks. | Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim |
| 2024 | EMNLP | UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. | Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, Youngbin Kim |
| 2024 | EMNLP | Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. | Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim |
| 2024 | ICLR | Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. | Juhwan Choi, YoungBin Kim |
| 2024 | ICLR | Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. | Juhwan Choi, YoungBin Kim |
| 2024 | NAACL | Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. | Seunguk Yu, Juhwan Choi, YoungBin Kim |
| 2023 | ICLR | SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |