| Learning transferable visual models from natural language supervision A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ... International conference on machine learning, 8748-8763, 2021 | 28996 | 2021 |
| Training language models to follow instructions with human feedback L Ouyang, J Wu, X Jiang, D Almeida, C Wainwright, P Mishkin, C Zhang, ... Advances in neural information processing systems 35, 27730-27744, 2022 | 11868 | 2022 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 8114 | 2023 |
| 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 | 3891 | 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 | 3493 | 2021 |
| Gpts are gpts: An early look at the labor market impact potential of large language models T Eloundou, S Manning, P Mishkin, D Rock arXiv preprint arXiv:2303.10130, 2023 | 1004 | 2023 |
| 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 | 509 | 2022 |
| Training language models to follow instructions with human feedback, 2022 L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ... URL https://arxiv. org/abs/2203.02155 13, 1, 2022 | 303 | 2022 |
| Learning transferable visual models from natural language supervision. arXiv A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ... arXiv preprint arXiv:2103.00020, 2021 | 187* | 2021 |
| Training language models to follow instructions with human feedback. arXiv L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ... arXiv preprint arXiv:2203.02155, 2022 | 135 | 2022 |
| 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 | 108 | 2021 |
| GPTs are GPTs: Labor market impact potential of LLMs T Eloundou, S Manning, P Mishkin, D Rock Science 384 (6702), 1306-1308, 2024 | 82* | 2024 |
| International conference on machine learning A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ... PMLR, 2021 | 75 | 2021 |
| 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 | 68 | 2021 |
| GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.” arXiv T Eloundou, S Manning, P Mishkin, D Rock arXiv preprint arXiv:2303.10130, 2023 | 64 | 2023 |
| Learning transferable visual models from natural language supervision. arXiv 2021 A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ... arXiv preprint arXiv:2103.00020 10, 2021 | 60 | 2021 |
| Training language models to follow instructions with human feedback, March 2022 L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ... URL http://arxiv. org/abs/2203.02155 92, 0 | 58 | |
| Practices for governing agentic AI systems Y Shavit, S Agarwal, M Brundage, S Adler, C O’Keefe, R Campbell, T Lee, ... Research Paper, OpenAI, December, 2023 | 57 | 2023 |
| 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, ... | 57 | 2021 |
| Training language models to follow instructions with human feedback. arXiv 2022 L Ouyang, J Wu, X Jiang, D Almeida, CL Wainwright, P Mishkin, C Zhang, ... arXiv preprint arXiv:2203.02155 10, 2022 | 51 | 2022 |
