AINeutralarXiv – CS AI · 3h ago6/10
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TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning
Researchers introduce TimeRFT, a reinforcement learning-based fine-tuning method for Time Series Foundation Models that improves forecasting accuracy and generalization. By implementing temporal reward mechanisms and intelligent data selection, TimeRFT outperforms traditional supervised fine-tuning approaches across diverse forecasting tasks and data conditions.