Georg Brunner

Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting

We study the adaptation of pretrained language models to univariate time-series forecasting through a parameter-efficient transfer learning framework, with the goal of understanding which design choices drive effective cross-modal transfer. While language models operate on discrete textual tokens, time series consist o...