Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting

Roland Riachi, Kashif Rasul, Arjun Ashok +5

Recent works have demonstrated the effectiveness of adapting pre-trained language models (LMs) for forecasting time series in the low-data regime. We build upon these findings by a…