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 | 2032 | 2021 |
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 | 1105 | 2021 |
Solving rubik's cube with a robot hand I Akkaya, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ... arXiv preprint arXiv:1910.07113, 2019 | 1060 | 2019 |
Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 959 | 2023 |
HP d M Chen, J Tworek, H Jun, Q Yuan O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman et al …, 2021 | 256 | 2021 |
Text and code embeddings by contrastive pre-training A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ... arXiv preprint arXiv:2201.10005, 2022 | 239 | 2022 |
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 | 87 | 2022 |
Solving rubik’s cube with a robot hand, 2019 IA OpenAI, M Andrychowicz, M Chociej, M Litwin, B McGrew, A Petron, ... URL https://arxiv. org/abs, 1910 | 14 | 1910 |
Systems and methods for generating natural language using language models trained on computer code M Chen, J Tworek, I Sutskever, W Zaremba, JUN Heewoo, HPDEO PINTO US Patent App. 18/321,921, 2024 | | 2024 |
Systems and methods for generating code using language models trained on computer code M Chen, J Tworek, I Sutskever, W Zaremba, JUN Heewoo, HPDEO PINTO US Patent App. 18/321,852, 2024 | | 2024 |