| What changes can large-scale language models bring? Intensive study on HyperCLOVA: Billions-scale Korean generative pretrained transformers B Kim arXiv preprint arXiv:2109.04650, 2021 | 109 | 2021 |
| Nsml: Meet the mlaas platform with a real-world case study H Kim, M Kim, D Seo, J Kim, H Park, S Park, H Jo, KH Kim, Y Yang, Y Kim, ... arXiv preprint arXiv:1810.09957, 2018 | 107 | 2018 |
| Nsml: A machine learning platform that enables you to focus on your models N Sung, M Kim, H Jo, Y Yang, J Kim, L Lausen, Y Kim, G Lee, D Kwak, ... arXiv preprint arXiv:1712.05902, 2017 | 80 | 2017 |
| On the effect of pretraining corpora on in-context learning by a large-scale language model S Shin, SW Lee, H Ahn, S Kim, HS Kim, B Kim, K Cho, G Lee, W Park, ... arXiv preprint arXiv:2204.13509, 2022 | 74 | 2022 |
| Keep me updated! memory management in long-term conversations S Bae, D Kwak, S Kang, MY Lee, S Kim, Y Jeong, H Kim, SW Lee, W Park, ... arXiv preprint arXiv:2210.08750, 2022 | 45 | 2022 |
| Clovacall: Korean goal-oriented dialog speech corpus for automatic speech recognition of contact centers JW Ha, K Nam, J Kang, SW Lee, S Yang, H Jung, E Kim, H Kim, S Kim, ... arXiv preprint arXiv:2004.09367, 2020 | 31 | 2020 |
| Alphatuning: Quantization-aware parameter-efficient adaptation of large-scale pre-trained language models SJ Kwon, J Kim, J Bae, KM Yoo, JH Kim, B Park, B Kim, JW Ha, N Sung, ... arXiv preprint arXiv:2210.03858, 2022 | 30 | 2022 |
| VisualHyperTuner: Visual analytics for user-driven hyperparameter tuning of deep neural networks H Park, J Kim, M Kim, JH Kim, J Choo, JW Ha, N Sung Demo at SysML Conference, 2019 | 21 | 2019 |
| Tripartite heterogeneous graph propagation for large-scale social recommendation KM Kim, D Kwak, H Kwak, YJ Park, S Sim, JH Cho, M Kim, J Kwon, ... arXiv preprint arXiv:1908.02569, 2019 | 18 | 2019 |
| Carecall: a call-based active monitoring dialog agent for managing covid-19 pandemic SW Lee, H Jung, SH Ko, S Kim, H Kim, K Doh, H Park, J Yeo, SH Ok, ... arXiv preprint arXiv:2007.02642, 2020 | 9 | 2020 |
| CHOPT: Automated hyperparameter optimization framework for cloud-based machine learning platforms J Kim, M Kim, H Park, E Kusdavletov, D Lee, A Kim, JH Kim, JW Ha, ... arXiv preprint arXiv:1810.03527, 2018 | 9 | 2018 |
| Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, and Jung-Woo Ha. 2019. Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KM Kim, D Kwak, H Kwak, YJ Park arXiv preprint arXiv:1908.02569, 2019 | 7 | 2019 |
Jung-Woo HaResearch Fellow@NAVER AI Lab, Head of Future AI Center@NAVERGeverifieerd e-mailadres voor navercorp.com
