Efficient Test-Time Scaling for LLM-based Time Series Forecasting
SCALER is a coarse-to-fine forecasting framework that first employs a lightweight Transformer tailored to long-term shape modeling to predict a coarse representation of future dynamics, and reduces reliance on long description prompts, and its fixed-step refinement avoids costly reward-model-based selection, further lo...