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Nisan Stiennon
Nisan Stiennon
Member of Technical Staff, OpenAI
Adresă de e-mail confirmată pe openai.com
Titlu
Citat de
Citat de
Anul
Learning to summarize with human feedback
N Stiennon, L Ouyang, J Wu, D Ziegler, R Lowe, C Voss, A Radford, ...
Advances in Neural Information Processing Systems 33, 3008-3021, 2020
12712020
Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593, 2019
10342019
Recursively summarizing books with human feedback
J Wu, L Ouyang, DM Ziegler, N Stiennon, R Lowe, J Leike, P Christiano
arXiv preprint arXiv:2109.10862, 2021
2082021
Fine-tuning language models from human preferences. arXiv 2019
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593, 1909
311909
Learning to summarize from human feedback, 2020
N Stiennon, L Ouyang, J Wu, DM Ziegler, R Lowe, C Voss, A Radford, ...
URL https://arxiv. org/abs, 2009
112009
The moduli space of real curves and a Z/2-equivariant Madsen-Weiss theorem
N Stiennon
Stanford University, 2013
82013
Recursively summarizing books with human feedback, 2021
J Wu, L Ouyang, DM Ziegler, N Stiennon, R Lowe, J Leike, P Christiano
URL https://arxiv. org/abs/2109.10862, 0
7
Research Preparation Criterion
S Jia, VB Kolachalama, DM Ziegler, N Stiennon, J Wu, TB Brown, ...
arXiv preprint arXiv:1909.08593, 2019
2019
“Loudness”: On priors over preference relations (Brief technical note)
B Fallenstein, N Stiennon
Tech. rep. 2014. url: https://intelligence. org/files/LoudnessPriors. pdf, 2014
2014
RECURSIVELY-DEFINED LOGICAL THEORIES ARE WELL-DEFINED (BRIEF TECHNICAL NOTE)
N STIENNON
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Articole 1–10