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 | 28920 | 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 | 19019 | 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 | 7771 | 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 | 2524 | 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 | 187 | 2022 |
Language Models are Few-Shot Learners. 2020. doi: 10.48550 TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... arxiv, 5-7, 2005 | 176 | 2005 |
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 | 118 | 2023 |
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 | 105 | 2021 |
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 | 89 | 2021 |
Language models are few-shot learners (arXiv: 2005.14165). arXiv TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... | 86 | 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 | 85 | 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 | 64 | 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 | 55 | 2020 |
& Amodei, D.(2020) TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Language models are few-shot learners, 2005 | 50 | 2005 |
Recursive routing networks: Learning to compose modules for language understanding I Cases, C Rosenbaum, M Riemer, A Geiger, T Klinger, A Tamkin, O Li, ... Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 28 | 2019 |
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 | 13 | 2023 |
2. A. Bordes, Y. Boureau, and J. Weston. Learning end-to-end goal-oriented dialog. In 5th GS Shyam, A Askell, S Agarwal, A Herbert-Voss, G Krueger, T Henighan, ... | | |