| End-to-end neural pipeline for goal-oriented dialogue systems using GPT-2 D Ham, JG Lee, Y Jang, KE Kim Proceedings of the 58th annual meeting of the association for computational …, 2020 | 236 | 2020 |
| What changes can large-scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers B Kim, HS Kim, SW Lee, G Lee, D Kwak, DH Jeon, S Park, S Kim, S Kim, ... arXiv preprint arXiv:2109.04650, 2021 | 122 | 2021 |
| Building a role specified open-domain dialogue system leveraging large-scale language models S Bae, D Kwak, S Kim, D Ham, S Kang, SW Lee, W Park arXiv preprint arXiv:2205.00176, 2022 | 45 | 2022 |
| 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 | 6 | 2024 |
| End-to-end document-grounded conversation with encoder-decoder pre-trained language model J Kim, D Ham, JG Lee, KE Kim Proceedings of the DSTC9 Workshop, Online, 8-9, 2021 | 3 | 2021 |
| Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? SW Lee, S Kim, D Ko, D Ham, Y Hong, SA Oh, H Jung, W Jung, K Cho, ... arXiv preprint arXiv:2212.10504, 2022 | | 2022 |
