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Nick Ryder
Nick Ryder
OpenAI
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Title
Cited by
Cited by
Year
Language models are few-shot learners
TB Brown
arXiv preprint arXiv:2005.14165, 2020
324362020
Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford …, 2020
80302020
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
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
28792021
Scaling laws for autoregressive generative modeling
T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ...
arXiv preprint arXiv:2010.14701, 2020
3092020
ChatGPT: Optimizing language models for dialogue
J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ...
OpenAI blog 2 (4), 2022
2392022
Language Models are Few-Shot Learners. 2020. doi: 10.48550
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arxiv, 5-7, 2005
1982005
& Amodei, D.(2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Language models are few-shot learners, 2005
1012005
Language models are few-shot learners (arXiv: 2005.14165). arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
982005
Tensor programs v: Tuning large neural networks via zero-shot hyperparameter transfer
G Yang, EJ Hu, I Babuschkin, S Sidor, X Liu, D Farhi, N Ryder, J Pachocki, ...
arXiv preprint arXiv:2203.03466, 2022
922022
Tuning large neural networks via zero-shot hyperparameter transfer
G Yang, E Hu, I Babuschkin, S Sidor, X Liu, D Farhi, N Ryder, J Pachocki, ...
Advances in Neural Information Processing Systems 34, 17084-17097, 2021
852021
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165 1, 2020
822020
Evaluating large language models trained on code. arXiv 2021
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374 10, 2021
442021
Introducing chatgpt
J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ...
OpenAI Blog, 2022
402022
The geometry of rank decompositions of matrix multiplication II: 3× 3 matrices
G Ballard, C Ikenmeyer, JM Landsberg, N Ryder
Journal of Pure and Applied Algebra 223 (8), 3205-3224, 2019
272019
ChatGPT: Optimizing Language Models for Dialogue.(2022)
J Schulman, B Zoph, JHC Kim, J Menick, J Weng, JFC Uribe, L Fedus, ...
OpenAI. com https://openai. com/blog/chatgpt, 2022
122022
On the further structure of the finite free convolutions
J Leake, N Ryder
arXiv preprint arXiv:1811.06382, 2018
102018
Real stability testing
P Raghavendra, N Ryder, N Srivastava
arXiv preprint arXiv:1610.00209, 2016
102016
Exponential lower bounds on spectrahedral representations of hyperbolicity cones
P Raghavendra, N Ryder, N Srivastava, B Weitz
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
92019
Generalizations of the matching polynomial to the multivariate independence polynomial
JD Leake, NR Ryder
Algebraic Combinatorics 2 (5), 781-802, 2019
82019
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