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cs.CL2023
Entailment as Robust Self-Learner
Jiaxin Ge, Hongyin Luo, Yoon Kim +1
Entailment has been recognized as an important metric for evaluating natural language understanding (NLU) models, and recent studies have found that entailment pretraining benefits…
cs.CL2023
Deriving Language Models from Masked Language Models
Lucas Torroba Hennigen, Yoon Kim
Masked language models (MLM) do not explicitly define a distribution over language, i.e., they are not language models per se. However, recent work has implicitly treated them as s…