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Dario Amodei
Dario Amodei
CEO and Co-Founder at Anthropic
Verified email at anthropic.com
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
232362020
Language models are unsupervised multitask learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
OpenAI blog 1 (8), 9, 2019
92722019
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
35662016
A cross-platform toolkit for mass spectrometry and proteomics
MC Chambers, B Maclean, R Burke, D Amodei, DL Ruderman, ...
Nature biotechnology 30 (10), 918-920, 2012
30882012
Concrete problems in AI safety
D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané
arXiv preprint arXiv:1606.06565, 2016
25062016
Deep reinforcement learning from human preferences
PF Christiano, J Leike, T Brown, M Martic, S Legg, D Amodei
Advances in neural information processing systems 30, 2017
20112017
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
18632021
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
10522020
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
9692020
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ...
arXiv preprint arXiv:1802.07228, 2018
9152018
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
8192019
Training a helpful and harmless assistant with reinforcement learning from human feedback
Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ...
arXiv preprint arXiv:2204.05862, 2022
6352022
Constitutional ai: Harmlessness from ai feedback
Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ...
arXiv preprint arXiv:2212.08073, 2022
5392022
AI and Compute
D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever
4052018
Characterizing deformability and surface friction of cancer cells
S Byun, S Son, D Amodei, N Cermak, J Shaw, JH Kang, VC Hecht, ...
Proceedings of the National Academy of Sciences 110 (19), 7580-7585, 2013
3852013
Benchmarking safe exploration in deep reinforcement learning
A Ray, J Achiam, D Amodei
arXiv preprint arXiv:1910.01708 7 (1), 2, 2019
3612019
Building high-quality assay libraries for targeted analysis of SWATH MS data
OT Schubert, LC Gillet, BC Collins, P Navarro, G Rosenberger, WE Wolski, ...
Nature protocols 10 (3), 426-441, 2015
3442015
Reward learning from human preferences and demonstrations in atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in neural information processing systems 31, 2018
3262018
Physical principles for scalable neural recording
AH Marblestone, BM Zamft, YG Maguire, MG Shapiro, TR Cybulski, ...
Frontiers in computational neuroscience 7, 137, 2013
2942013
Searching for collective behavior in a large network of sensory neurons
G Tkačik, O Marre, D Amodei, E Schneidman, W Bialek, MJ Berry
PLoS computational biology 10 (1), e1003408, 2014
2802014
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Articles 1–20