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| 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 | 6168 | 2022 |
| 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 | 2113 | 2021 |
| 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 | 1992 | 2021 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 828 | 2023 |
| 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 | 503 | 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 | 260 | 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 | 154 | 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. https://openai. com/blog/dall-e, 2021 | 80 | 2021 |
| 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 | 77 | 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 | 65 | 2022 |
| DALL·E 2 Preview - Risks and Limitations P Mishkin, L Ahmad, M Brundage, G Krueger, G Sastry https://github.com/openai/dalle-2-preview/blob/main/system-card_04062022.md, 2022 | 27 | 2022 |
| A hazard analysis framework for code synthesis large language models H Khlaaf, P Mishkin, J Achiam, G Krueger, M Brundage arXiv preprint arXiv:2207.14157, 2022 | 16 | 2022 |
| 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 | 6 | 2023 |
| Contextual Confidence and Generative AI S Jain, Z Hitzig, P Mishkin arXiv preprint arXiv:2311.01193, 2023 | 2 | 2023 |
| A research agenda for assessing the economic impacts of code generation models S Manning, P Mishkin, G Hadfield, T Eloundou, E Eisner | 2 | 2022 |
| Comment on" Health Data Platforms" T Eloundou, P Mishkin NBER Chapters, 2023 | | 2023 |
| Economic Impacts Research at OpenAI P Mishkin | | |
