63 citations · 86 across the 6 of their papers we have counts for
6 papers
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder +1
Adapters are light-weight modules that allow parameter-efficient fine-tuning of pretrained models. Specialized language and task adapters have recently been proposed to facilitate…
Multi-view Subword Regularization
Xinyi Wang, Sebastian Ruder, Graham Neubig
Multilingual pretrained representations generally rely on subword segmentation algorithms to create a shared multilingual vocabulary. However, standard heuristic algorithms often l…
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
Luyu Gao, Xinyi Wang, Graham Neubig
To improve the performance of Neural Machine Translation~(NMT) for low-resource languages~(LRL), one effective strategy is to leverage parallel data from a related high-resource la…
Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang, Yulia Tsvetkov, Graham Neubig
When training multilingual machine translation (MT) models that can translate to/from multiple languages, we are faced with imbalanced training sets: some languages have much more…
A Probabilistic Formulation of Unsupervised Text Style Transfer
Junxian He, Xinyi Wang, Graham Neubig +1
We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. Our probabilistic approach models non-parallel d…
Improving Conditioning in Context-Aware Sequence to Sequence Models
Xinyi Wang, Jason Weston, Michael Auli +1
Neural sequence to sequence models are well established for applications which can be cast as mapping a single input sequence into a single output sequence. In this work, we focus…