Контрфактические данные

AbstractAs generic machine translation (MT) quality has improved, the need for targeted benchmarks that explore fine-grained aspects of quality has increased. In particular, gender accuracy in translation can have implications …...

AbstractModels trained with counterfactually augmented data learn representations of the causal structure of tasks, enabling robust generalization. However, high-quality counterfactual data is scarce for most tasks and not easily generated …...

Abstract“Recent years have seen a lot of efforts in attacking the issue of language priors in the field ofVisual Question Answering (VQA). Among the extensive efforts, causal inference is regarded …...