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#machine learning Preprint Oct 2026

LLM Evaluation is a Forecasting Problem

Standard procedure in machine learning is to randomly split train and test data, emulating IID draws from one underlying data distribution. In practice, models are trained on past data and deployed in the future, which may come from distinct distributions. In this paper, we find that web text is indeed highly non-stati...

R. Thomas, Adam Block, Micah Goldblum · 0 citations

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