| 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 | 40011 | 2020 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 7921 | 2023 |
| 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 | 3838 | 2021 |
| Stochastic theory of field‐scale Fickian dispersion in anisotropic porous media SP Neuman, CL Winter, CM Newman Water Resources Research 23 (3), 453-466, 1987 | 467 | 1987 |
| 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 | 262 | 2005 |
| & Amodei, D.(2020) TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... Language models are few-shot learners, 2005 | 200 | 2005 |
| 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 | 194 | 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 | 132 | 2024 |
| Language models are few-shot learners (arXiv: 2005.14165). arXiv TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... | 132 | 2005 |
| Groundwater flow in heterogeneous composite aquifers CL Winter, DM Tartakovsky Water Resources Research 38 (8), 23-1-23-11, 2002 | 131 | 2002 |
| A perturbation expansion for diffusion in a random velocity field CL Winter, CM Newman, SP Neuman SIAM Journal on Applied Mathematics 44 (2), 411-424, 1984 | 127 | 1984 |
| Moment differential equations for flow in highly heterogeneous porous media CL Winter, DM Tartakovsky, A Guadagnini Surveys in Geophysics 24, 81-106, 2003 | 106 | 2003 |
| Stochastic generation of explicit pore structures by thresholding Gaussian random fields JD Hyman, CL Winter Journal of Computational Physics 277, 16-31, 2014 | 86 | 2014 |
| Relationship between pore size and velocity probability distributions in stochastically generated porous media M Siena, M Riva, JD Hyman, CL Winter, A Guadagnini Physical Review E 89 (1), 013018, 2014 | 86 | 2014 |
| Mean flow in composite porous media CL Winter, DM Tartakovsky Geophysical research letters 27 (12), 1759-1762, 2000 | 83 | 2000 |
| Moment-equation approach to single phase fluid flow in heterogeneous reservoirs D Zhang, CL Winter SPE Journal 4 (02), 118-127, 1999 | 81 | 1999 |
| Pores resolving simulation of Darcy flows PK Smolarkiewicz, CL Winter Journal of Computational Physics 229 (9), 3121-3133, 2010 | 75 | 2010 |
| Evaluating large language models trained on code. arXiv 2021 M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374 10, 2021 | 68 | 2021 |
| Stochastic analysis of steady‐state unsaturated flow in heterogeneous media: Comparison of the Brooks‐Corey and Gardner‐Russo models D Zhang, TC Wallstrom, CL Winter Water Resources Research 34 (6), 1437-1449, 1998 | 65 | 1998 |
| 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 | 64 | 2020 |
Daniel M. TartakovskyStanford UniversityVerified email at stanford.edu
