MNLI

A new study measuring how much formal semantic structure explains human label variation in natural language inference finds that it accounts for only 3.3 to 3.6 percent of entropy variance, with a gro…

Researchers at arXiv propose a hybrid pre-training objective for language models that combines a Joint Embedding Predictive Architecture (JEPA) latent-space prediction loss with masked language modell…