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What Should We Remove? Evaluating the Reliability and Costs of RLVR Data Decontamination

Xin, Esther
arXiv (All) · Papers
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computation-and-languagei-2-6i-2-7
Reinforcement learning with verifiable rewards (RLVR) math corpora are routinely screened for benchmark overlap, but the reliability and data-loss costs of cleaning policies remain underexamined. We audit sixteen open RLVR math corpora comprising 1,673,514 corpus-specific training items against six
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