A Meta-Knowledge-Augmented LLM Framework for Hyperparameter Optimization in Time-Series Forecasting

Ons Saadallah, Mátyás andó, Tamás Gábor Orosz

Hyperparameter optimization (HPO) plays a central role in the performance of deep learning models, yet remains computationally expensive and difficult to interpret, particularly fo…