| Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking M Lee, JH Park, J Kim, KM Kim, SK Lee Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 13 | 2022 |
| Learning from missing relations: Contrastive learning with commonsense knowledge graphs for commonsense inference YH Jung, JH Park, JY Choi, M Lee, J Kim, KM Kim, SK Lee Findings of the Association for Computational Linguistics: ACL 2022, 1514-1523, 2022 | 6 | 2022 |
| Tutoring helps students learn better: Improving knowledge distillation for bert with tutor network J Kim, JH Park, M Lee, WL Mok, JY Choi, SK Lee Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| Improving Bias Mitigation through Bias Experts in Natural Language Understanding E Jeon, M Lee, J Park, Y Kim, WL Mok, SK Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| Multi-stage prompt tuning for political perspective detection in low-resource settings KM Kim, M Lee, HS Won, MJ Kim, Y Kim, SK Lee Applied Sciences 13 (10), 6252, 2023 | 3 | 2023 |
| Coconut: Contextualized commonsense unified transformers for graph-based commonsense augmentation of language models JH Park, M Lee, J Kim, SK Lee Findings of the Association for Computational Linguistics ACL 2024, 5815-5830, 2024 | 1 | 2024 |
| MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction JH Park, Y Kim, M Lee, H Park, SK Lee arXiv preprint arXiv:2408.01426, 2024 | 1 | 2024 |
| Continual debiasing: A bias mitigation framework for natural language understanding systems M Lee, J Kim, JH Park, SK Lee Expert Systems with Applications, 126593, 2025 | | 2025 |
| Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing Y Kim, J Kim, JH Park, M Lee, SK Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
SangKeun LeeProfessor of Dept. of Artificial Intelligence, Korea UniversityDirección de correo verificada de korea.ac.kr