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Membership inference attacks can exploit tabular ICL, but TabPATE offers a robust defense that preserves model utility without requiring public data.
WAPO leverages token-level gradient dynamics to stabilize RLVR training, achieving superior performance in reasoning tasks while addressing collapse risks.
