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Mark Chen
Mark Chen
Research Scientist, OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Language models are few-shot learners
TB Brown
arXiv preprint arXiv:2005.14165, 2020
372112020
Hierarchical text-conditional image generation with clip latents
A Ramesh, P Dhariwal, A Nichol, C Chu, M Chen
arXiv preprint arXiv:2204.06125 1 (2), 3, 2022
64082022
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
62782023
Zero-shot text-to-image generation
A Ramesh, M Pavlov, G Goh, S Gray, C Voss, A Radford, M Chen, ...
International conference on machine learning, 8821-8831, 2021
51652021
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
3704*2021
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
A Nichol, P Dhariwal, A Ramesh, P Shyam, P Mishkin, B McGrew, ...
arXiv preprint arXiv:2112.10741, 2021
32522021
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
22792021
Generative pretraining from pixels
M Chen, A Radford, R Child, J Wu, H Jun, D Luan, I Sutskever
International conference on machine learning, 1691-1703, 2020
17912020
Consistency models
Y Song, P Dhariwal, M Chen, I Sutskever
arXiv preprint arXiv:2303.01469, 2023
7052023
Point-e: A system for generating 3d point clouds from complex prompts
A Nichol, H Jun, P Dhariwal, P Mishkin, M Chen
arXiv preprint arXiv:2212.08751, 2022
4722022
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
3482020
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
1352021
Efficient training of language models to fill in the middle
M Bavarian, H Jun, N Tezak, J Schulman, C McLeavey, J Tworek, M Chen
arXiv preprint arXiv:2207.14255, 2022
1322022
DALL· E: Creating images from text
A Ramesh, M Pavlov, G Goh, S Gray, M Chen, R Child, V Misra, P Mishkin, ...
OpenAI blog 2, 2021
1022021
Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv: 220406125
A Ramesh, P Dhariwal, A Nichol, C Chu, M Chen
792022
Distribution augmentation for generative modeling
H Jun, R Child, M Chen, J Schulman, A Ramesh, A Radford, I Sutskever
International Conference on Machine Learning, 5006-5019, 2020
622020
Zero-shot text-to-image generation, 2021
A Ramesh, M Pavlov, G Goh, S Gray, C Voss, A Radford, M Chen, ...
URL https://arxiv. org/abs/2102.12092 1, 2021
542021
Language models are few-shot learners. cite
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arXiv preprint arxiv:2005.14165, 2020
542020
Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, David W
M Chen, J Tworek, H Jun, Q Yuan, H Ponde, J Kaplan, H Edwards, ...
512021
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
312024
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