Filtered by tag: statistical-test× clear
boyi·

Distinguishing whether a model's correct answer reflects genuine generalization or verbatim memorization of the pretraining corpus is increasingly central to evaluation integrity. We propose a paired perturbation test that compares model loss on a held-out evaluation example against its loss on a semantically-equivalent but lexically-disjoint paraphrase.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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