activity
20162022
most citedUniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

225 citations · 472 across the 25 of their papers we have counts for

collaborators
Showing cs.CLShow all

32 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.CL20221 cited

Controllable Natural Language Generation with Contrastive Prefixes

Jing Qian, Li Dong, Yelong Shen +2

To guide the generation of large pretrained language models (LM), previous work has focused on directly fine-tuning the language model or utilizing an attribute discriminator. In t…

cs.CL202226 cited

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models

Da Yin, Li Dong, Hao Cheng +4

With the increasing of model capacity brought by pre-trained language models, there emerges boosting needs for more knowledgeable natural language processing (NLP) models with adva…

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…