papersSEP 12 04:00 UTC
Benchmarking Information-Theoretic Metrics for Multimodal Time-Series Forecasting
A new arXiv paper examines how to measure whether text annotations actually improve a forecasting model's predictions when paired with time-series data. The authors propose benchmarking information-theoretic metrics intended to quantify how much a given text input contributes to forecast accuracy. The study targets multimodal forecasting pipelines that blend numerical series with textual context.