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Acceleration of stochastic approximation by averaging
B. T. Polyak and A. B. Juditsky · 1992
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive NLP tasks
Original
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, et al · 2005
Earlier work this paper cites.
Framing theory
D. Chong and J. N. Druckman · 2007
Earlier work this paper cites.
Question and answer test-train overlap in open-domain question answering datasets
Original
P. Lewis, P. Stenetorp, and S. Riedel · 2008
Earlier work this paper cites.
Building watson: An overview of the deepqa project
D. Ferrucci, E. Brown, J. Chu-Carroll, J. Fan, D. Gondek, A. A. Kalyanpur, A. Lally, J. W. Murdock, E. Nyberg, J. Prager, et al · 2010
Earlier work this paper cites.
Automation bias: a systematic review of frequency, effect mediators, and mitigators
K. Goddard, A. Roudsari, and J. C. Wyatt · 2012
Earlier work this paper cites.
Superintelligence: Paths, Dangers, Strategies
N. Bostrom · 2014
Earlier work this paper cites.
Crystal Society
M. Harms · 2016
Earlier work this paper cites.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Original
M. Joshi, E. Choi, D. S. Weld, and L. Zettlemoyer · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
Original
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Earlier work this paper cites.

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We fine-tune GPT-3 to answer long-form questions using a text-based web-browsing environment, which allows the model to search and navigate the web.

By setting up the task so that it can be performed by humans, we are able to train models on the task using imitation learning, and then optimize answer quality with human feedback.
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Acceleration of stochastic approximation by averaging
B. T. Polyak and A. B. Juditsky · 1992
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Cited alongside, same era.
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Later among the works it cites.
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N. Stiennon, L. Ouyang, J. Wu, D. M. Ziegler, R. Lowe, C. Voss, A. Radford, D. Amodei, and P. Christiano · 2020
Later among the works it cites.
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Closest in time.
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