| 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 |
| 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 |
| 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 | 2471 | 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 | 463 | 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 | 176 | 2005 |
| Groundwater flow in heterogeneous composite aquifers CL Winter, DM Tartakovsky Water Resources Research 38 (8), 23-1-23-11, 2002 | 126 | 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 | 125 | 1984 |
| Moment differential equations for flow in highly heterogeneous porous media CL Winter, DM Tartakovsky, A Guadagnini Surveys in Geophysics 24, 81-106, 2003 | 104 | 2003 |
| Language models are few-shot learners (arXiv: 2005.14165). arXiv TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ... | 86 | 2005 |
| 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 | 81 | 2014 |
| Moment-equation approach to single phase fluid flow in heterogeneous reservoirs D Zhang, CL Winter SPE Journal 4 (02), 118-127, 1999 | 81 | 1999 |
| Mean flow in composite porous media CL Winter, DM Tartakovsky Geophysical research letters 27 (12), 1759-1762, 2000 | 80 | 2000 |
| Stochastic generation of explicit pore structures by thresholding Gaussian random fields JD Hyman, CL Winter Journal of Computational Physics 277, 16-31, 2014 | 79 | 2014 |
| Pores resolving simulation of Darcy flows PK Smolarkiewicz, CL Winter Journal of Computational Physics 229 (9), 3121-3133, 2010 | 73 | 2010 |
| 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 |
| A view toward the future of subsurface characterization: CAT scanning groundwater basins TCJ Yeh, CH Lee, KC Hsu, WA Illman, W Barrash, X Cai, J Daniels, ... Water resources research 44 (3), 2008 | 61 | 2008 |
| Heterogeneities of flow in stochastically generated porous media JD Hyman, PK Smolarkiewicz, CL Winter Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (5 …, 2012 | 58 | 2012 |
| Forecasting skill of model averages CL Winter, D Nychka Stochastic Environmental Research and Risk Assessment 24, 633-638, 2010 | 57 | 2010 |
| Numerical solutions of moment equations for flow in heterogeneous composite aquifers CL Winter, DM Tartakovsky, A Guadagnini Water resources research 38 (5), 13-1-13-8, 2002 | 56 | 2002 |
| 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 |
Daniel M. TartakovskyStanford UniversityVerified email at stanford.edu
