| Saint+: Integrating temporal features for ednet correctness prediction D Shin, Y Shim, H Yu, S Lee, B Kim, Y Choi LAK21: 11th International Learning Analytics and Knowledge Conference, 490-496, 2021 | 124 | 2021 |
| On correctness of automatic differentiation for non-differentiable functions W Lee, H Yu, X Rival, H Yang NeurIPS 2020, 2020 | 45 | 2020 |
| Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking J Shin, H Yu, H Moon, A Madotto, J Park Findings of ACL 2022, 2022 | 38 | 2022 |
| Reparameterization gradient for non-differentiable models W Lee, H Yu, H Yang NeurIPS 2018, 2018 | 32 | 2018 |
| Towards verified stochastic variational inference for probabilistic programs W Lee, H Yu, X Rival, H Yang POPL 2020, 16:1-33, 2020 | 19* | 2020 |
| Assessment modeling: Fundamental pre-training tasks for interactive educational systems Y Choi, Y Lee, J Cho, J Baek, D Shin, H Yu, Y Shim, S Lee, J Shin, C Bae, ... arXiv preprint arXiv:2002.05505, 2020 | 13 | 2020 |
| 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 |
| 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 |
| Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction B Kim, H Yu, D Shin, Y Choi International Educational Data Mining Society, 2021, 2021 | 1 | 2021 |
| HyperCLOVA X Technical Report KM Yoo, J Han, S In, H Jeon, J Jeong, J Kang, H Kim, KM Kim, M Kim, ... arXiv preprint arXiv:2404.01954, 2024 | | 2024 |
| Verifying well-definedness of variational objectives for probabilistic programs H Yu 한국과학기술원, 2020 | | 2020 |
Dongmin ShinTogi Inc.Verified email at togi.co
