2025
LEAF: Large Language Diffusion Model for Time Series Forecasting
EMNLP 2025
This paper studies the problem of time series forecasting, which aims to generate future predictions given historical trajectories. Recent researchers have applied large language models (LLMs) into time series forecasting, which usually align the time series space with textual space and output futur