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Christopher Hesse
Christopher Hesse
Member of Technical Staff, OpenAI
Verified email at openai.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
398342020
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
78862023
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
38272021
Training verifiers to solve math word problems
K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ...
arXiv preprint arXiv:2110.14168, 2021
26232021
Dota 2 with large scale deep reinforcement learning
C Berner, G Brockman, B Chan, V Cheung, P Dębiak, C Dennison, ...
arXiv preprint arXiv:1912.06680, 2019
20962019
Webgpt: Browser-assisted question-answering with human feedback
R Nakano, J Hilton, S Balaji, J Wu, L Ouyang, C Kim, C Hesse, S Jain, ...
arXiv preprint arXiv:2112.09332, 2021
11222021
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
10752017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
9592018
Quantifying generalization in reinforcement learning
K Cobbe, O Klimov, C Hesse, T Kim, J Schulman
International conference on machine learning, 1282-1289, 2019
7762019
Leveraging procedural generation to benchmark reinforcement learning
K Cobbe, C Hesse, J Hilton, J Schulman
International conference on machine learning, 2048-2056, 2020
6402020
Language Models are Few-Shot Learners, arxiv, 2020
TB Brown
5872005
Scaling laws for autoregressive generative modeling
T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ...
arXiv preprint arXiv:2010.14701, 2020
3812020
Language Models are Few-Shot Learners. 2020. doi: 10.48550
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arxiv, 5-7, 2005
2672005
Gotta learn fast: A new benchmark for generalization in rl
A Nichol, V Pfau, C Hesse, O Klimov, J Schulman
arXiv preprint arXiv:1804.03720, 2018
2232018
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165 1, 2020
1922020
Training verifiers to solve math word problems, 2021
K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ...
URL https://arxiv. org/abs/2110.14168, 2021
1642021
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
1322024
Dota 2 with large scale deep reinforcement learning
CB OpenAI, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680 2, 2019
1242019
Gpt-4 technical report, 2024
JA OpenAI, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, ...
URL https://arxiv. org/abs/2303.08774 2, 6, 2024
792024
Evaluating large language models trained on code. arXiv 2021
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374 10, 2021
682021
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