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20202022
most citedDeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders

51 citations · 133 across the 7 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 15 cited

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task

Jian Yang, Shuming Ma, Haoyang Huang +8

This report describes Microsoft's machine translation systems for the WMT21 shared task on large-scale multilingual machine translation. We participated in all three evaluation tra…

cs.CL2021★ 33 cited

Scalable and Efficient MoE Training for Multitask Multilingual Models

Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio +6

The Mixture of Experts (MoE) models are an emerging class of sparsely activated deep learning models that have sublinear compute costs with respect to their parameters. In contrast…

cs.CL2021

Improving Multilingual Translation by Representation and Gradient Regularization

Yilin Yang, Akiko Eriguchi, Alexandre Muzio +3

Multilingual Neural Machine Translation (NMT) enables one model to serve all translation directions, including ones that are unseen during training, i.e. zero-shot translation. Des…

cs.CL2021

Discovering Representation Sprachbund For Multilingual Pre-Training

Yimin Fan, Yaobo Liang, Alexandre Muzio +4

Multilingual pre-trained models have demonstrated their effectiveness in many multilingual NLP tasks and enabled zero-shot or few-shot transfer from high-resource languages to low…

cs.CL2021★ 51 cited

DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders

Shuming Ma, Li Dong, Shaohan Huang +6

While pretrained encoders have achieved success in various natural language understanding (NLU) tasks, there is a gap between these pretrained encoders and natural language generat…