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Sandhini Agarwal
Sandhini Agarwal
Openai
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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
289202020
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
190192021
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
77712022
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
25242023
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
1872022
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
1762005
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
1182023
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
1052021
DALL· E: Creating images from text
A Ramesh, M Pavlov, G Goh, S Gray, M Chen, R Child, V Misra, P Mishkin, ...
OpenAI blog 2, 2021
892021
Language models are few-shot learners (arXiv: 2005.14165). arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
862005
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
852022
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
642021
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
552020
& Amodei, D.(2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Language models are few-shot learners, 2005
502005
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
282019
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
132023
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, ...
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