| Language models are few-shot learners TB Brown arXiv preprint arXiv:2005.14165, 2020 | 39671* | 2020 |
| Scaling laws for neural language models J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ... arXiv preprint arXiv:2001.08361, 2020 | 3076 | 2020 |
| Evaluating large language models trained on code M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374, 2021 | 2879 | 2021 |
| Training a helpful and harmless assistant with reinforcement learning from human feedback Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ... arXiv preprint arXiv:2204.05862, 2022 | 1143 | 2022 |
| Constitutional ai: Harmlessness from ai feedback Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ... arXiv preprint arXiv:2212.08073, 2022 | 906 | 2022 |
| Language Models are Few-Shot Learners, arxiv, 2020 TB Brown | 457 | 2005 |
| Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned D Ganguli, L Lovitt, J Kernion, A Askell, Y Bai, S Kadavath, B Mann, ... arXiv preprint arXiv:2209.07858, 2022 | 348 | 2022 |
| A general language assistant as a laboratory for alignment A Askell, Y Bai, A Chen, D Drain, D Ganguli, T Henighan, A Jones, ... arXiv preprint arXiv:2112.00861, 2021 | 311 | 2021 |
| Scaling laws for autoregressive generative modeling T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ... arXiv preprint arXiv:2010.14701, 2020 | 309 | 2020 |
| Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess Scaling laws for neural language models 1, 2001 | 289 | 2001 |
| In-context learning and induction heads C Olsson, N Elhage, N Nanda, N Joseph, N DasSarma, T Henighan, ... arXiv preprint arXiv:2209.11895, 2022 | 263 | 2022 |
| Predictability and surprise in large generative models D Ganguli, D Hernandez, L Lovitt, A Askell, Y Bai, A Chen, T Conerly, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 250 | 2022 |
| A stereoscopic look into the bulk B Czech, L Lamprou, S McCandlish, B Mosk, J Sully Journal of High Energy Physics 2016 (7), 1-47, 2016 | 246 | 2016 |
| Integral geometry and holography B Czech, L Lamprou, S McCandlish, J Sully Journal of High Energy Physics 2015 (10), 1-41, 2015 | 240 | 2015 |
| Spontaneous segregation of self-propelled particles with different motilities SR McCandlish, A Baskaran, MF Hagan Soft Matter 8 (8), 2527-2534, 2012 | 236 | 2012 |
| A mathematical framework for transformer circuits N Elhage, N Nanda, C Olsson, T Henighan, N Joseph, B Mann, A Askell, ... Transformer Circuits Thread 1 (1), 12, 2021 | 228 | 2021 |
| An empirical model of large-batch training S McCandlish, J Kaplan, D Amodei, OAID Team arXiv preprint arXiv:1812.06162, 2018 | 216 | 2018 |
| Toy models of superposition N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ... arXiv preprint arXiv:2209.10652, 2022 | 211 | 2022 |
| Discovering language model behaviors with model-written evaluations E Perez, S Ringer, K Lukošiūtė, K Nguyen, E Chen, S Heiner, C Pettit, ... arXiv preprint arXiv:2212.09251, 2022 | 187 | 2022 |
| Scaling laws for transfer D Hernandez, J Kaplan, T Henighan, S McCandlish arXiv preprint arXiv:2102.01293, 2021 | 173 | 2021 |
Tom B BrownAnthropicVerified email at anthropic.com
