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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
265612020
Language models are unsupervised multitask learners
A Radford, J Wu, R Child, D Luan, D Amodei, I Sutskever
OpenAI blog 1 (8), 9, 2019
102072019
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
36412016
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
32112012
Concrete problems in AI safety
D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané
arXiv preprint arXiv:1606.06565, 2016
26132016
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
22772017
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
21662021
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
12252020
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
11512020
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
9782018
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
9612019
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
8162022
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
6662022
AI and Compute
D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever
4242018
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
3942013
Benchmarking safe exploration in deep reinforcement learning
A Ray, J Achiam, D Amodei
arXiv preprint arXiv:1910.01708 7 (1), 2, 2019
3862019
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
3502015
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
3422018
Physical principles for scalable neural recording
AH Marblestone, BM Zamft, YG Maguire, MG Shapiro, TR Cybulski, ...
Frontiers in computational neuroscience 7, 137, 2013
3002013
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
2862014
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Articles 1–20