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ID: predictionconsistencyscores
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Consistency Regularization Training for Compositional Generalization
AbstractExisting neural models have difficulty generalizing to unseen combinations of seen components. To achieve compositional generalization, models are required to consistently interpret (sub)expressions across contexts. Without modifying model architectures, we …...