| Larger language models do in-context learning differently J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ... arXiv preprint arXiv:2303.03846, 2023 | 245 | 2023 |
| FreshLLMs: Refreshing large language models with search engine augmentation T Vu, M Iyyer, X Wang, N Constant, J Wei, J Wei, C Tar, YH Sung, D Zhou, ... arXiv preprint arXiv:2310.03214, 2023 | 91 | 2023 |
| Generative Image Translation for Data Augmentation in Colorectal Histopathology Images J Wei, A Suriawinata, L Vaickus, B Ren, X Liu, J Wei, S Hassanpour Machine Learning for Health (ML4H) Workshop at NeurIPS 2019, 2019 | 83 | 2019 |
| Automated detection of celiac disease on duodenal biopsy slides: A deep learning approach JW Wei, JW Wei, CR Jackson, B Ren, AA Suriawinata, S Hassanpour Journal of Pathology Informatics 10, 2019 | 72 | 2019 |
| Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification J Wei, A Suriawinata, B Ren, X Liu, M Lisovsky, L Vaickus, C Brown, ... 2021 Winter Conference on Applications of Computer Vision (WACV), 2020 | 64 | 2020 |
| A Petri Dish for Histopathology Image Analysis J Wei, A Suriawinata, B Ren, X Liu, M Lisovsky, L Vaickus, C Brown, ... 2021 Conference on Artificial Intelligence in Medicine (AIME), 2021 | 62 | 2021 |
| Simple synthetic data reduces sycophancy in large language models J Wei, D Huang, Y Lu, D Zhou, QV Le arXiv preprint arXiv:2308.03958, 2023 | 58 | 2023 |
| Symbol tuning improves in-context learning in language models J Wei, L Hou, A Lampinen, X Chen, D Huang, Y Tay, X Chen, Y Lu, ... 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 52 | 2023 |
| What Are People Asking About COVID-19? A Question Classification Dataset J Wei, C Huang, S Vosoughi, J Wei Workshop on NLP for COVID-19 at ACL 2020, 2020 | 49* | 2020 |
| AlexNet: The Architecture that Challenged CNNs J Wei Towards Data Science, 2019 | 39 | 2019 |
| Best practices and lessons learned on synthetic data for language models R Liu, J Wei, F Liu, C Si, Y Zhang, J Rao, S Zheng, D Peng, D Yang, ... arXiv preprint arXiv:2404.07503, 2024 | 36* | 2024 |
| Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang, ... arXiv preprint arXiv:2403.18802, 2024 | 25* | 2024 |
| VGG Neural Networks: The Next Step After AlexNet J Wei Towards Data Science, 2019 | 19 | 2019 |
| Difficulty Translation in Histopathology Images J Wei, A Suriawinata, X Liu, B Ren, M Nasir-Moin, N Tomita, J Wei, ... 2020 Conference on Artificial Intelligence in Medicine (AIME), 238-248, 2020 | 4 | 2020 |
| NewB: 200,000+ sentences for political bias detection J Wei arXiv preprint arXiv:2006.03051, 2020 | 4 | 2020 |
| Calibrating Histopathology Image Classifiers using Label Smoothing J Wei, L Torresani, J Wei, S Hassanpour 2022 Conference on Artificial Intelligence in Medicine (AIME), 2022 | 3 | 2022 |
| Best Practices and Lessons Learned on Synthetic Data R Liu, J Wei, F Liu, C Si, Y Zhang, J Rao, S Zheng, D Peng, D Yang, ... First Conference on Language Modeling, 2024 | 1 | 2024 |
Jason WeiOpenAIVerified email at google.com
