| 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 | 24159 | 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 | 15113 | 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 | 1950 | 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 | 720 | 2023 |
| AI and Compute D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever | 411 | 2018 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 325 | 2020 |
| Trial without error: Towards safe reinforcement learning via human intervention W Saunders, G Sastry, A Stuhlmueller, O Evans arXiv preprint arXiv:1707.05173, 2017 | 285 | 2017 |
| Text and code embeddings by contrastive pre-training A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ... arXiv preprint arXiv:2201.10005, 2022 | 221 | 2022 |
| Generative language models and automated influence operations: Emerging threats and potential mitigations JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova arXiv preprint arXiv:2301.04246, 2023 | 172 | 2023 |
| 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 | 144 | 2005 |
| Language models are few-shot learners. arXiv TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Computer Science, Computation and Language, 2005 | 137 | 2005 |
| 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 |
| Language models are few-shot learners. CoRR abs/2005.14165 (2020) TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... URL: https://arxiv. org/abs/2005.14165, 2005 | 70 | 2005 |
| AI and compute, 2018 D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever URL https://openai. com/blog/ai-and-compute 4, 2018 | 66 | 2018 |
| Language models are few-shot learners B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ... arXiv preprint arXiv:2005.14165, 2020 | 47 | 2020 |
| Language models are few-shot learners.[Cs] TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Proceedings of 2020 Neural Information Processing Systems, 2020 | 13 | 2020 |
| Generative language models and automated influence operations: Emerging threats and potential mitigations. ARXIV. ORG, 2023. doi: 10.48550 JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova arXiv preprint arXiv.2301.04246, 0 | 6* | |
| Computing Power and the Governance of Artificial Intelligence G Sastry, L Heim, H Belfield, M Anderljung, M Brundage, J Hazell, ... arXiv preprint arXiv:2402.08797, 2024 | 2 | 2024 |
| FlowScheduler: Towards efficient task assignment for Hadoop G Sastry 2011-05-02)[2012-12-08]. http://girishsastry, com/papers/writeup, pdf, 2011 | 2 | 2011 |
| CONSIDERATIONS FOR EVALUATING LARGE LANGUAGE MODELS FOR CYBERSECURITY TASKS J Gennari, S Lau, S Perl, J Parish, G Sastry | | 2024 |
