Әртүрлі деректер жиынтықтары

AbstractDespite the reported success of unsupervised machine translation (MT), the field has yet to examine the conditions under which the methods succeed and fail. We conduct an extensive empirical evaluation …...

Neural topic modeling approach has been at- tracting much attention recently as it is able to leverage the advantages of both neural net- works and probabilistic topic models. Previ- ous …...

AbstractGrounded text generation systems often generate text that contains factual inconsistencies, hindering their real-world applicability. Automatic factual consistency evaluation may help alleviate this limitation by accelerating evaluation cycles, filtering inconsistent …...

AbstractPretraining has been shown to scale well with compute, data size and data diversity. Multitask learning trains on a mixture of supervised datasets and produces improved performance compared to self-supervised …...

AbstractPrior work on language models (LMs) shows that training on a large number of diverse tasks improves few-shot learning (FSL) performance on new tasks. We take this to the extreme, …...