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News/Spiking the training data to correct for test set contamination
arxiv
PublishedMay 26, 2026 at 4:00 AM
—neutral

Spiking the training data to correct for test set contamination

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Publisher summary· verbatim

arXiv:2605.24818v1 Announce Type: cross Abstract: The literature on test set contamination largely focuses on detection, but the correction of contaminated test scores is underexplored. Our core proposal is to spike the training data by intentionally contaminating some test examples at known rates.

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