arXiv Machine Learning
When, Not How Much: Evaluating Time-Series Foundation Models on Sparse Events
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Hugging Face Trending Papers
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A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out
Time-series foundation models are evaluated almost exclusively on public archives that predate them, so a strong score cannot be separated from having seen the test set during pretraining. The obvious...