Jason Wei
Cited by
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Easy data augmentation techniques for boosting performance on text classification tasks
J Wei, K Zou
EMNLP 2019, 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
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
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
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
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
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
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
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
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
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
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
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
Unifying language learning paradigms
Y Tay, M Dehghani, VQ Tran, X Garcia, D Bahri, T Schuster, HS Zheng, ...
ICLR 2023, 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
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
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
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
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
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
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