سجل دخولك
رؤى - Unsupervised Pretraining for Fact Verification
Unsupervised Pretraining for Fact Verification by Language Model Distillation at ICLR 2024
Unsupervised pretraining framework SFAVEL achieves state-of-the-art results in fact verification by distilling language model features.
Unsupervised Pretraining for Fact Verification by Language Model Distillation: A Novel Approach
The author proposes SFAVEL, an unsupervised pretraining framework leveraging language model distillation to achieve high-quality claim-fact alignments without annotations. Results show state-of-the-art performance on fact verification datasets.
المنتجات
الموارد
© 2024 by Linnk AI