| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Label-efficient training for next response selection S Choi, M Jeong, J Yeo, S Hwang Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language …, 2020 | 1 | 2020 |
| Cross Encoding as Augmentation: Towards Effective Educational Text Classification HS Lee, S Choi, Y Lee, H Moon, S Oh, M Jeong, H Go, C Wallraven arXiv preprint arXiv:2305.18977, 2023 | | 2023 |
| Evaluation of Question Generation Needs More References S Oh, H Go, H Moon, Y Lee, M Jeong, HS Lee, S Choi arXiv preprint arXiv:2305.16626, 2023 | | 2023 |
