AI RESEARCH

TempusBench: An Evaluation Framework for Time-Series Forecasting

arXiv CS.LG

ArXi:2604.11529v1 Announce Type: new Foundation models have transformed natural language processing and computer vision, and a rapidly growing literature on time-series foundation models (TSFMs) seeks to replicate this success in forecasting. While recent open-source models nstrate the promise of TSFMs, the field lacks a comprehensive and community-accepted model evaluation framework. We see at least four major issues impeding progress on the development of such a framework.