AI RESEARCH
Spiking the training data to correct for test set contamination
arXiv CS.LG
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ArXi:2605.24818v1 Announce Type: cross 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