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Shifting from explicit domain descriptions to an inductive approach, DOMINO generates high-quality synthetic data that enhances LLM performance without the need for manual prompt engineering.
Forget scaling model size – QuitoBench reveals that simply scaling training data delivers bigger gains for time series forecasting, across both deep learning and foundation models.
