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Xuanfu Wu

2 accepted papers

2022

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

NAACL 2022long

Non-autoregressive neural machine translation (NAT) suffers from the multi-modality problem: the source sentence may have multiple correct translations, but the loss function is calculated only according to the reference sentence. Sequence-level knowledge distillation makes the target more determini…

2021

Mixup Decoding for Diverse Machine Translation

EMNLP 2021finding

Diverse machine translation aims at generating various target language translations for a given source language sentence. To leverage the linear relationship in the sentence latent space introduced by the mixup training, we propose a novel method, MixDiversity, to generate different translations for…

Cited by 17SourcePDFScholar