activity
20182025
most citedDeepNet: Scaling Transformers to 1,000 Layers

54 citations · 177 across the 15 of their papers we have counts for

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20 papers · 1 filter

cs.CL20223 cited

Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning

Barun Patra, Saksham Singhal, Shaohan Huang +5

In this paper, we elaborate upon recipes for building multilingual representation models that are not only competitive with existing state-of-the-art models but are also more param…

cs.CL20224 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.CL202254 cited

DeepNet: Scaling Transformers to 1,000 Layers

Hongyu Wang, Shuming Ma, Li Dong +3

In this paper, we propose a simple yet effective method to stabilize extremely deep Transformers. Specifically, we introduce a new normalization function (DeepNorm) to modify the r…

cs.CL202115 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.CL20218 cited

Improving Non-autoregressive Generation with Mixup Training

Ting Jiang, Shaohan Huang, Zihan Zhang +6

While pre-trained language models have achieved great success on various natural language understanding tasks, how to effectively leverage them into non-autoregressive generation t…

cs.CL2021

Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training

Bo Zheng, Li Dong, Shaohan Huang +5

Compared to monolingual models, cross-lingual models usually require a more expressive vocabulary to represent all languages adequately. We find that many languages are under-repre…