| 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 | 355 | 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 | 184 | 2023 |
| 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, ... arXiv preprint arXiv:2404.07503, 2024 | 112* | 2024 |
| 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 | 95 | 2023 |
| 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 | 91* | 2024 |
| 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 | 91 | 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 | 81 | 2019 |
| 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 | 78 | 2021 |
| 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 | 73 | 2023 |
| 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 | 66 | 2020 |
| 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 | 43 | 2019 |
| VGG Neural Networks: The Next Step After AlexNet J Wei Towards Data Science, 2019 | 17 | 2019 |
| Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, and Andrew M. Dai. 2024. Best Practices and Lessons Learned on Synthetic Data R Liu, J Wei, F Liu arXiv preprint arXiv:2404.07503, 0 | 12 | |
| Constitutional classifiers: Defending against universal jailbreaks across thousands of hours of red teaming M Sharma, M Tong, J Mu, J Wei, J Kruthoff, S Goodfriend, E Ong, A Peng, ... arXiv preprint arXiv:2501.18837, 2025 | 7 | 2025 |
| 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 |
Jason WeiOpenAIEmail verificata su google.com
