Paper Review, Deep Learning, Time Series Forecasting, Llm, Zero Shot Learning.
best task-specific models. Ablations: Unsurprisingly, larger models are better; Random weight initializing is better than using LLM weights, as they may be not relevant for time-forecasting; TSMix improved zero-shot learning, but not in-domain; It is optimal to use around 10% of synthetic data;