Congxi Xiao

TS-RAG: Retrieval Augmented Generation for Time Series Forecasting

TS-RAG is proposed, which leverages RAG to enhance forecasting performance and introduces specially designed reference tokens to effectively fuse information from the input sequence with that from retrieved similar sequences, enabling a more robust capture of complex temporal dynamics.