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Jason Wei
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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
8186*2022
PaLM: Scaling language modeling with Pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
JMLR 2023, 2022
45562022
GPT-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
38522023
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
27952022
Emergent abilities of large language models
J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ...
TMLR 2022, 2022
2645*2022
Scaling instruction-finetuned language models
HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ...
JMLR 2024, 2022
25932022
Easy data augmentation techniques for boosting performance on text classification tasks
J Wei, K Zou
EMNLP 2019, 2019
24292019
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
1943*2023
Large language models encode clinical knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature 2023, 2023
16792023
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, ...
TMLR 2023, 2022
9992022
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
9202023
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
8122021
The Flan Collection: Designing data and methods for effective instruction tuning
S Longpre, L Hou, T Vu, A Webson, HW Chung, Y Tay, D Zhou, QV Le, ...
ICML 2023, 2023
5102023
Challenging BIG-bench tasks and whether chain-of-thought can solve them
M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ...
ACL Findings 2023, 2022
4452022
Unifying language learning paradigms
Y Tay, M Dehghani, VQ Tran, X Garcia, D Bahri, T Schuster, HS Zheng, ...
ICLR 2023, 2023
372*2023
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
3162019
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
2172023
Language models are multilingual chain-of-thought reasoners
F Shi, M Suzgun, M Freitag, X Wang, S Srivats, S Vosoughi, HW Chung, ...
ICLR 2023, 2023
2012023
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
1742019
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
1482022
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Articles 1–20