| 2026 | LREC | MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation. | Jeongsoo Lee, Daeyong Kwon, Kyohoon Jin, Junnyeong Jeong, Minwoo Sim, Minwoo 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 | 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 | GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation. | Jeongsoo Lee, Daeyong Kwon, Kyohoon Jin |
| 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 | Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. | Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim |
| 2023 | ICLR | SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |
| 2021 | NAACL | Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. | Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, Youngbin Kim |