Language models are few-shot learners T Brown, B Mann, N Ryder, M Subbiah, JD Kaplan, P Dhariwal, ... Advances in neural information processing systems 33, 1877-1901, 2020 | 40555 | 2020 |
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 | 29102 | 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 | 11930 | 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 | 8198 | 2023 |
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 | 306 | 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 | 260* | 2021 |
Language models are few-shot learners B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ... arXiv preprint arXiv:2005.14165 1, 2020 | 208 | 2020 |
A holistic approach to undesired content detection in the real world T Markov, C Zhang, S Agarwal, FE Nekoul, T Lee, S Adler, A Jiang, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15009 …, 2023 | 201 | 2023 |
& Amodei, D.(2020) TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Language models are few-shot learners, 2005 | 195 | 2005 |
Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 152 | 2024 |
Language models are few-shot learners (arXiv: 2005.14165). arXiv TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... | 141 | 2005 |
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 | 136 | 2022 |
Evaluating clip: towards characterization of broader capabilities and downstream implications S Agarwal, G Krueger, J Clark, A Radford, JW Kim, M Brundage arXiv preprint arXiv:2108.02818, 2021 | 133 | 2021 |
Gpt-4 technical report. arXiv 2023 J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 0 | 124 | |
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 |
Gpt-4 technical report, 2024 JA OpenAI, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, ... URL https://arxiv. org/abs/2303.08774 2, 6, 2024 | 88 | 2024 |
& McGrew, B.(2023) J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman arXiv preprint arXiv:2303.08774, 0 | 81 | |
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 | 65 | 2020 |
GPT-4 technical report (2023) J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... URL https://api. semanticscholar. org/CorpusID 257532815, 2023 | 62 | 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 |