| C2l: Causally contrastive learning for robust text classification S Choi, M Jeong, H Han, S Hwang Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10526 …, 2022 | 32 | 2022 |
| Retrieval-augmented controllable review generation J Kim, S Choi, RK Amplayo, S Hwang Proceedings of the 28th International Conference on Computational …, 2020 | 14 | 2020 |
| Less is more: Attention supervision with counterfactuals for text classification S Choi, H Park, J Yeo, S Hwang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 12 | 2020 |
| Machine-translated knowledge transfer for commonsense causal reasoning J Yeo, G Wang, H Cho, S Choi, S Hwang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 11 | 2018 |
| Structure-augmented keyphrase generation J Kim, M Jeong, S Choi, S Hwang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9 | 2021 |
| Visual choice of plausible alternatives: An evaluation of image-based commonsense causal reasoning J Yeo, G Lee, G Wang, S Choi, H Cho, RK Amplayo, S Hwang Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 9 | 2018 |
| Multi-architecture multi-expert diffusion models Y Lee, JY Kim, H Go, M Jeong, S Oh, S Choi Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13427 …, 2024 | 7 | 2024 |
| Addressing negative transfer in diffusion models H Go, Y Lee, S Lee, S Oh, H Moon, S Choi Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Towards practical plug-and-play diffusion models H Go, Y Lee, JY Kim, S Lee, M Jeong, HS Lee, S Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Micron: Multigranular interaction for contextualizing representation in non-factoid question answering H Han, S Choi, H Park, S Hwang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 6 | 2019 |
| Counterfactual attention supervision S Choi, H Park, S Hwang 2019 IEEE International Conference on Data Mining (ICDM), 1006-1011, 2019 | 4 | 2019 |
| Counterfactual generative smoothing for imbalanced natural language classification H Han, S Choi, M Jeong, J Park, S Hwang Proceedings of the 30th ACM International Conference on Information …, 2021 | 3 | 2021 |
| Label and context augmentation for response selection at DSTC8 M Jeong, S Choi, J Yeo, S Hwang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2541-2550, 2021 | 3 | 2021 |
| Meta-supervision for attention using counterfactual estimation S Choi, H Park, S Hwang Data Science and Engineering 5, 193-204, 2020 | 3 | 2020 |
| Towards compositional generalization in code search H Han, S Hwang, S Lu, N Duan, S Choi Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
| Evaluating the knowledge dependency of questions H Moon, Y Yang, J Shin, H Yu, S Lee, M Jeong, J Park, M Kim, S Choi arXiv preprint arXiv:2211.11902, 2022 | 2 | 2022 |
| Conditional Response Augmentation for Dialogue Using Knowledge Distillation. M Jeong, S Choi, H Han, K Kim, S Hwang INTERSPEECH, 3890-3894, 2020 | 2 | 2020 |
| Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models S Kim, S Choi, M Jeong arXiv preprint arXiv:2402.14714, 2024 | 1 | 2024 |
| Retrieval-augmented Video Encoding for Instructional Captioning Y Jung, M Kim, S Choi, J Kim, M Seo, S Hwang Findings of the Association for Computational Linguistics: ACL 2023, 8554-8568, 2023 | 1 | 2023 |
| Towards zero-shot functional compositionality of language models H Yu, M Jeong, J Shin, H Moon, J Park, S Choi arXiv preprint arXiv:2303.03103, 2023 | 1 | 2023 |
Seung-won HwangSeoul National UniversityE-mail megerősítve itt: snu.ac.kr
