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20222026
most citedGTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation

25 citations · 89 across the 17 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 1 cited

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator

Jian Yang, Shuming Ma, Li Dong +7

Pre-trained models have achieved remarkable success in natural language processing (NLP). However, existing pre-training methods underutilize the benefits of language understanding…

cs.CL2022★ 4 cited

CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation

Jian Yang, Shaohan Huang, Shuming Ma +6

Named entity recognition (NER) suffers from the scarcity of annotated training data, especially for low-resource languages without labeled data. Cross-lingual NER has been proposed…

cs.CL2022★ 11 cited

UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation

Jian Yang, Yuwei Yin, Shuming Ma +5

Most translation tasks among languages belong to the zero-resource translation problem where parallel corpora are unavailable. Multilingual neural machine translation (MNMT) enable…

cs.CL2022★ 13 cited

HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation

Jian Yang, Yuwei Yin, Shuming Ma +3

Multilingual neural machine translation (MNMT) trained in multiple language pairs has attracted considerable attention due to fewer model parameters and lower training costs by sha…

cs.CL2022★ 25 cited

GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation

Jian Yang, Yuwei Yin, Liqun Yang +5

Transformer structure, stacked by a sequence of encoder and decoder network layers, achieves significant development in neural machine translation. However, vanilla Transformer mai…