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MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference

Zgreabăn, Mădălina et al.
arXiv (All) · Papers
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computation-and-language
As many benchmarks have become saturated, it is increasingly important to create new datasets that evaluate the generalization capacity of current state-of-the-art models in reasoning. However, creating high-quality reasoning datasets is challenging: manual construction is costly, and automatic gene
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