Long Ouyang - RankMe

13 papers A* 3B 2Journal 8

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Self-critiquing models for assisting human evaluators. CoRR William Saunders, Catherine Yeh, Jeff Wu, Steven Bills, Long Ouyang, Jonathan Ward, Jan Leike
2022	A*	`conf`	Training language models to follow instructions with human feedback. NeurIPS 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
2022	J	`jnl`	Training language models to follow instructions with human feedback. CoRR 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
2021	J	`jnl`	Recursively Summarizing Books with Human Feedback. CoRR Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul F. Christiano
2021	J	`jnl`	WebGPT: Browser-assisted question-answering with human feedback. CoRR 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
2020	J	`jnl`	Learning to summarize from human feedback. CoRR Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano
2020	A*	`conf`	Learning to summarize with human feedback. NeurIPS Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano
2018	J	`jnl`	Bayesian Inference of Regular Expressions from Human-Generated Example Strings. CoRR Long Ouyang
2018	B	`conf`	webppl-oed: A practical optimal experiment design system. CogSci Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman
2017	J	`jnl`	Pedagogical Learning. CoRR Long Ouyang, Michael C. Frank
2016	A*	`conf`	Fabular: regression formulas as probabilistic programming. POPL Johannes Borgström, Andrew D. Gordon, Long Ouyang, Claudio V. Russo, Adam Scibior, Marcin Szymczak
2016	J	`jnl`	Practical optimal experiment design with probabilistic programs. CoRR Long Ouyang, Michael Henry Tessler, Daniel Ly, Noah D. Goodman
2012	B	`conf`	Semantic Coherence Facilitates Distributional Learning of Word Meanings. CogSci Long Ouyang, Lera Boroditsky, Michael C. Frank