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Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
A new benchmark study evaluates six zero-shot time series foundation models against statistical baselines across financial datasets.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 23 September 2026
- Collected by OneBench
- 24 Sept 2026, 03:02 UK
Stored source excerpt
arXiv:2609.25788v1 Announce Type: new Abstract: Time Series Foundation Models (TSFMs) promise a paradigm shift toward zero-shot forecasting by eliminating task-specific training. However, existing works often…
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