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heterogeneous context

topic1 events
papersTODAY 04:00 UTC

Unified benchmark targets multimodal time series forecasting with heterogeneous context

Researchers present a new benchmark for time series forecasting that moves beyond purely numeric data to include contextual signals such as text and other modalities. They argue existing multimodal benchmarks are limited in both the volume of data and the range of context they cover. The work is posted as an arXiv preprint in cs.AI and cs.LG.

benchmark/time-series/multimodal/research