Call for Rigor in Reporting Quality of Instruction Tuning Data

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Call for Rigor in Reporting Quality of Instruction Tuning Data

4 March 2025

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Papers citing "Call for Rigor in Reporting Quality of Instruction Tuning Data"

18 / 18 papers shown

Title
EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials Farinaz Mostajeran Salah A Faroughi 106 7 0 12 Oct 2024
Physics-Informed Neural Networks and Extensions Maziar Raissi P. Perdikaris Nazanin Ahmadi George Karniadakis PINN AI4CE 80 5 0 29 Aug 2024
A review on data-driven constitutive laws for solids J. Fuhg G. A. Padmanabha N. Bouklas B. Bahmani WaiChing Sun Nikolaos N. Vlassis Moritz Flaschel P. Carrara L. Lorenzis AI4CE AILaw 70 39 0 06 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 292 569 0 30 Apr 2024
Symmetry-enforcing neural networks with applications to constitutive modeling Kévin Garanger Julie A Kraus J. Rimoli 64 9 0 21 Dec 2023
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities Markus J. Buehler KELM 73 61 0 16 Oct 2023
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems Markus J. Buehler AI4CE 92 43 0 30 Jun 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 141 434 0 23 Feb 2023
Modular machine learning-based elastoplasticity: generalization in the context of limited data J. Fuhg Craig M. Hamel K. Johnson Reese E. Jones N. Bouklas 76 49 0 15 Oct 2022
A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites J. Friemann B. Dashtbozorg Mikael Fagerström S. Mirkhalaf AI4CE 73 19 0 27 Sep 2022
Physics-Informed Deep Neural Operator Networks S. Goswami Aniruddha Bora Yue Yu George Karniadakis PINN AI4CE 92 108 0 08 Jul 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 70 118 0 27 Jun 2022
Hard Encoding of Physics for Learning Spatiotemporal Dynamics Chengping Rao Hao Sun Yang Liu PINN AI4CE 73 11 0 02 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 514 2,456 0 18 Oct 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,479 0 07 Nov 2019
Distributed physics informed neural network for data-efficient solution to partial differential equations Vikas Dwivedi N. Parashar Balaji Srinivasan PINN 144 83 0 21 Jul 2019
$Transfer learning enhanced physics informed neural network for phase-field modeling of fracture$ Transfer learning enhanced physics informed neural network for phase-field modeling of fracture S. Goswami C. Anitescu S. Chakraborty Timon Rabczuk PINN 86 614 0 04 Jul 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 457 5,168 0 19 Jun 2018

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