ASE: Attribution-Guided Semantic Evolution for Time Series Forecasting
This work presents Attribution-guided Semantic Evolution (ASE), a modular framework for constructing textual factors, evaluating their conditional contribution, and deploying validation-selected numerical--textual predictors, coupled to suitable numerical experts.