UnitedSynT5 generates synthetic premise-hypothesis pairs with FLAN-T5 XL, filters them using a teacher model, and fine-tunes GTR-T5-XL, reporting accuracy of 94.7% on SNLI, 94.0% on E-SNLI, and 92.6% on MultiNLI.
A decomposable attention model for natural language inference,
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First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI
UnitedSynT5 generates synthetic premise-hypothesis pairs with FLAN-T5 XL, filters them using a teacher model, and fine-tunes GTR-T5-XL, reporting accuracy of 94.7% on SNLI, 94.0% on E-SNLI, and 92.6% on MultiNLI.