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Long Ouyang
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2020 – today
- 2022
- [c5]Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe:
Training language models to follow instructions with human feedback. NeurIPS 2022 - [i8]Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe:
Training language models to follow instructions with human feedback. CoRR abs/2203.02155 (2022) - [i7]William Saunders, Catherine Yeh, Jeff Wu, Steven Bills, Long Ouyang, Jonathan Ward, Jan Leike:
Self-critiquing models for assisting human evaluators. CoRR abs/2206.05802 (2022) - 2021
- [i6]Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul F. Christiano:
Recursively Summarizing Books with Human Feedback. CoRR abs/2109.10862 (2021) - [i5]Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman:
WebGPT: Browser-assisted question-answering with human feedback. CoRR abs/2112.09332 (2021) - 2020
- [c4]Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano:
Learning to summarize with human feedback. NeurIPS 2020 - [i4]Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano:
Learning to summarize from human feedback. CoRR abs/2009.01325 (2020)
2010 – 2019
- 2018
- [c3]Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman:
webppl-oed: A practical optimal experiment design system. CogSci 2018 - [i3]Long Ouyang:
Bayesian Inference of Regular Expressions from Human-Generated Example Strings. CoRR abs/1805.08427 (2018) - 2017
- [i2]Long Ouyang, Michael C. Frank:
Pedagogical Learning. CoRR abs/1711.09401 (2017) - 2016
- [c2]Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak:
Fabular: regression formulas as probabilistic programming. POPL 2016: 271-283 - [i1]Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman:
Practical optimal experiment design with probabilistic programs. CoRR abs/1608.05046 (2016) - 2012
- [c1]Long Ouyang, Lera Boroditsky, Michael C. Frank:
Semantic Coherence Facilitates Distributional Learning of Word Meanings. CogSci 2012
Coauthor Index
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