| 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 | 30391 | 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 | 9235 | 2023 |
| 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 | 5747 | 2021 |
| GPT-4 technical report S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv.[https://arxiv. org/abs/2303.08774](Zugriff: 17.06. 2024), 2024 | 2102 | 2024 |
| Improving image generation with better captions J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ... Computer Science. https://cdn. openai. com/papers/dall-e-3. pdf 2 (3), 8, 2023 | 895 | 2023 |
| Zoom in: An introduction to circuits C Olah, N Cammarata, L Schubert, G Goh, M Petrov, S Carter Distill 5 (3), e00024. 001, 2020 | 457 | 2020 |
| Multimodal neurons in artificial neural networks G Goh, N Cammarata, C Voss, S Carter, M Petrov, L Schubert, A Radford, ... Distill 6 (3), e30, 2021 | 384 | 2021 |
| & Sutskever, I.(2021, July). Learning transferable visual models from natural language supervision A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal International conference on machine learning, 8748-8763, 0 | 342 | |
| Dynamic interventions to control COVID-19 pandemic: a multivariate prediction modelling study comparing 16 worldwide countries R Chowdhury, K Heng, MSR Shawon, G Goh, D Okonofua, ... European journal of epidemiology 35, 389-399, 2020 | 328 | 2020 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 288 | 2024 |
| Satisfying real-world goals with dataset constraints G Goh, A Cotter, M Gupta, MP Friedlander Advances in neural information processing systems 29, 2016 | 261 | 2016 |
| Language models can explain neurons in language models S Bills, N Cammarata, D Mossing, H Tillman, L Gao, G Goh, I Sutskever, ... URL https://openaipublic. blob. core. windows. net/neuron-explainer/paper …, 2023 | 252 | 2023 |
| Why momentum really works G Goh Distill 2 (4), e6, 2017 | 210 | 2017 |
| 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 | 112 | 2021 |
| Gpt-4 technical report, 2024 S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... URL https://arxiv. org/abs/2303.08774 2, 6, 2024 | 111 | 2024 |
| Scaling and evaluating sparse autoencoders L Gao, TD la Tour, H Tillman, G Goh, R Troll, A Radford, I Sutskever, ... arXiv preprint arXiv:2406.04093, 2024 | 108 | 2024 |
| Zoom in: An introduction to circuits. Distill, 2020. doi: 10.23915/distill. 00024.001 C Olah, N Cammarata, L Schubert, G Goh, M Petrov, S Carter | 96 | |
| GPT-4 technical report (2023) J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 79 | 2023 |
| Thread: circuits N Cammarata, S Carter, G Goh, C Olah, M Petrov, L Schubert, C Voss, ... Distill 5 (3), e24, 2020 | 75 | 2020 |
| 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 | 64 | 2021 |
Alec RadfordOpenAIE-mail megerősítve itt: openai.com
