| Easy data augmentation techniques for boosting performance on text classification tasks J Wei, K Zou EMNLP 2019, 2019 | 1447 | 2019 |
| PaLM: Scaling language modeling with Pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 960 | 2022 |
| Chain-of-thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou NeurIPS 2022, 2022 | 803* | 2022 |
| Finetuned language models are zero-shot learners J Wei, M Bosma, V Zhao, K Guu, A Yu, B Lester, N Du, A Dai, Q Le ICLR 2022, 2022 | 586 | 2022 |
| A survey of data augmentation approaches for NLP S Feng, V Gangal, J Wei, S Chandar, S Vosoughi, T Mitamura, E Hovy ACL Findings 2021, 2021 | 387 | 2021 |
| Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... Transactions on Machine Learning Research (TMLR), 2022 | 338* | 2022 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 238 | 2022 |
| Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks J Wei, L Tafe, Y Linnik, L Vaickus, N Tomita, S Hassanpour Scientific Reports, 2019 | 236 | 2019 |
| Self-consistency improves chain-of-thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, D Zhou ICLR 2023, 2023 | 215* | 2023 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 190 | 2022 |
| Least-to-most prompting enables complex reasoning in large language models D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, ... ICLR 2023, 2023 | 155 | 2023 |
| Attention-based deep neural networks for detection of cancerous and precancerous esophagus tissue on histopathological slides N Tomita, B Abdollahi, J Wei, B Ren, A Suriawinata, S Hassanpour JAMA Network Open, 2019 | 128 | 2019 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 79 | 2022 |
| Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, D Bahri, T Schuster, HS Zheng, ... ICLR 2023, 2023 | 74* | 2023 |
| Evaluation of a deep neural network for automated classification of colorectal polyps on histopathologic slides J Wei, A Suriawinata, L Vaickus, B Ren, X Liu, M Lisovsky, N Tomita, ... JAMA Network Open, 2020 | 61 | 2020 |
| Generative image translation for data augmentation in colorectal histopathology images J Wei, A Suriawinata, L Vaickus, B Ren, X Liu, J Wei, S Hassanpour ML4H at NeurIPS 2019, 2019 | 60 | 2019 |
| A recipe for arbitrary text style transfer with large language models E Reif, D Ippolito, A Yuan, A Coenen, C Callison-Burch, J Wei ACL 2022, 2022 | 54 | 2022 |
| Automated detection of celiac disease on duodenal biopsy slides: A deep learning approach J Wei, J Wei, C Jackson, B Ren, A Suriawinata, S Hassanpour Journal of Pathology Informatics, 2019 | 50 | 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, ... WACV 2021, 2021 | 42 | 2021 |
| Challenging BIG-bench tasks and whether chain-of-thought can solve them M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ... arXiv preprint arXiv:2210.09261, 2022 | 40* | 2022 |
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
