Although pre-trained language models (PLMs) have recently advanced the
r...
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
Although large language models (LLMs) have achieved excellent performanc...
Acquiring a better understanding of drought impacts becomes increasingly...
The accurate characterization of the severity of the wildfire event stro...
Under climate change, the increasing frequency, intensity, and spatial e...
This paper aims to advance the mathematical intelligence of machines by
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Recently, contrastive learning has been shown to be effective in improvi...
Graph neural networks (GNNs) emerged recently as a standard toolkit for
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Active learning is to design label-efficient algorithms by sampling the ...