| Client-customized adaptation for parameter-efficient federated learning Y Kim, J Kim, WL Mok, JH Park, SK Lee Findings of the Association for Computational Linguistics: ACL 2023, 1159-1172, 2023 | 20 | 2023 |
| Dynamic Structure Pruning for Compressing CNNs JH Park, Y Kim, J Kim, JY Choi, SK Lee In Proceedings of the AAAI Conference on Artificial Intelligence 2023, 2023 | 16 | 2023 |
| Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking M Lee, JH Park, J Kim, KM Kim, SK Lee In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022 | 13 | 2022 |
| SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts JY Choi, J Kim, JH Park, WL Mok, SK Lee Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 11 | 2023 |
| 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 In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022 | 5 | 2022 |
| MELT: Materials-aware continued pre-training for language model adaptation to materials science J Kim, Y Kim, JH Park, Y Oh, S Kim, SK Lee arXiv preprint arXiv:2410.15126, 2024 | 2 | 2024 |
| Towards robust and generalized parameter-efficient fine-tuning for noisy label learning Y Kim, J Kim, SK Lee Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 2 | 2024 |
| 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 |
| C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning Y Kim, J Kim, WL Mok, JH Park, SK Lee arXiv preprint arXiv:2411.00311, 2024 | | 2024 |
| CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning Y Kim, J Kim, SK Lee arXiv preprint arXiv:2411.00873, 2024 | | 2024 |
| Mentor-KD: Making Small Language Models Better Multi-step Reasoners H Lee, J Kim, SK Lee arXiv preprint arXiv:2410.09037, 2024 | | 2024 |
| 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