Follow
Sandhini Agarwal
Sandhini Agarwal
Openai
Verified email at openai.com
Title
Cited by
Cited by
Year
Language models are few-shot learners
T Brown, B Mann, N Ryder, M Subbiah, JD Kaplan, P Dhariwal, ...
Advances in neural information processing systems 33, 1877-1901, 2020
248642020
Learning transferable visual models from natural language supervision
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
International conference on machine learning, 8748-8763, 2021
156882021
Training language models to follow instructions with human feedback
L Ouyang, J Wu, X Jiang, D Almeida, C Wainwright, P Mishkin, C Zhang, ...
Advances in neural information processing systems 35, 27730-27744, 2022
62512022
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
9022023
Training language models to follow instructions with human feedback, 2022
L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ...
URL https://arxiv. org/abs/2203.02155 13, 1, 2022
1552022
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
1492005
Language models are few-shot learners. arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Computer Science, Computation and Language, 2005
1402005
Evaluating clip: towards characterization of broader capabilities and downstream implications
S Agarwal, G Krueger, J Clark, A Radford, JW Kim, M Brundage
arXiv preprint arXiv:2108.02818, 2021
932021
DALL· E: Creating images from text
A Ramesh, M Pavlov, G Goh, S Gray, M Chen, R Child, V Misra, P Mishkin, ...
OpenAI blog. https://openai. com/blog/dall-e, 2021
822021
A holistic approach to undesired content detection in the real world
T Markov, C Zhang, S Agarwal, FE Nekoul, T Lee, S Adler, A Jiang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15009 …, 2023
792023
Learning transferable visual models from natural language supervision. arXiv
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
arXiv preprint arXiv:2103.00020, 2021
772021
Language models are few-shot learners. CoRR abs/2005.14165 (2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
URL: https://arxiv. org/abs/2005.14165, 2005
722005
Training language models to follow instructions with human feedback. arXiv
L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ...
arXiv preprint arXiv:2203.02155, 2022
662022
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165, 2020
492020
Recursive routing networks: Learning to compose modules for language understanding
I Cases, C Rosenbaum, M Riemer, A Geiger, T Klinger, A Tamkin, O Li, ...
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
292019
Language models are few-shot learners.[Cs]
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Proceedings of 2020 Neural Information Processing Systems, 2020
132020
Practices for governing agentic AI systems
Y Shavit, S Agarwal, M Brundage, S Adler, C O’Keefe, R Campbell, T Lee, ...
Research Paper, OpenAI, December, 2023
72023
2. A. Bordes, Y. Boureau, and J. Weston. Learning end-to-end goal-oriented dialog. In 5th
GS Shyam, A Askell, S Agarwal, A Herbert-Voss, G Krueger, T Henighan, ...
The system can't perform the operation now. Try again later.
Articles 1–18