AINeutralarXiv – CS AI · 10h ago5/10
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Efficient Prompt Learning for Traffic Forecasting
Researchers propose SimpleST, a lightweight prompt tuning framework that enhances spatio-temporal graph neural networks' ability to generalize across different traffic prediction scenarios. By keeping pre-trained model parameters fixed while adapting through efficient prompting, the approach reduces computational overhead while improving accuracy on real-world urban datasets.