When Geoscience Meets Generative AI and Large Language Models:
Foundations, Trends, and Future Challenges

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

25 January 2024

Tanujit Chakraborty

Papers citing "When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges"

11 / 11 papers shown

Title
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Di Wang Jing Zhang Bo Du Minqiang Xu Lin Liu Dacheng Tao L. Zhang 114 71 0 03 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 178 780 0 02 May 2023
Beyond Classification: Financial Reasoning in State-of-the-Art Language Models Guijin Son Han-Na Jung Moonjeong Hahm Keonju Na Sol Jin AIFin LRM 39 17 0 30 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 32 29 0 11 Mar 2023
EarthNets: Empowering AI in Earth Observation Zhitong Xiong Fahong Zhang Yi Wang Yilei Shi Xiao Xiang Zhu 79 72 0 10 Oct 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 27 20 0 08 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues Anaïs Tack Chris Piech ELM 21 89 0 16 May 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 196 624 0 26 Feb 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 755 0 13 Mar 2020