7 citations · 10 across the 4 of their papers we have counts for
4 papers
Investigating the Impact of Model Complexity in Large Language Models
Jing Luo, Huiyuan Wang, Weiran Huang
Large Language Models (LLMs) based on the pre-trained fine-tuning paradigm have become pivotal in solving natural language processing tasks, consistently achieving state-of-the-art…
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
Fenghua Ling, Zeyu Lu, Jing-Jia Luo +6
As our planet is entering into the "global boiling" era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are…
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
Tao Han, Song Guo, Fenghua Ling +7
Kilometer-scale modeling of global atmosphere dynamics enables fine-grained weather forecasting and decreases the risk of disastrous weather and climate activity. Therefore, buildi…
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
Fenghua Ling, Lin Ouyang, Boufeniza Redouane Larbi +4
The rapid advancement of artificial intelligence technologies, particularly in recent years, has led to the emergence of several large parameter artificial intelligence weather for…