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Found 3 papers, 1 papers with code
Claim Verification in the Age of Large Language Models: A Survey
The large and ever-increasing amount of data available on the Internet coupled with the laborious task of manual claim and fact verification has sparked the interest in the development of automated claim verification systems.
Attention-based Domain Adaptation Forecasting of Streamflow in Data-Sparse Regions
Streamflow forecasts are critical to guide water resource management, mitigate drought and flood effects, and develop climate-smart infrastructure and governance.
Transfer learning to improve streamflow forecasts in data sparse regions
In this paper, we study the methodology behind Transfer Learning (TL) through fine-tuning and parameter transferring for better generalization performance of streamflow prediction in data-sparse regions.
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