activity
20182022
most citedLanguage Models are Good Translators

9 citations · 29 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL20224 cited

Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages

Wenxiang Jiao, Zhaopeng Tu, Jiarui Li +3

This paper describes Tencent's multilingual machine translation systems for the WMT22 shared task on Large-Scale Machine Translation Evaluation for African Languages. We participat…

cs.SE2022

AEON: A Method for Automatic Evaluation of NLP Test Cases

Jen-tse Huang, Jianping Zhang, Wenxuan Wang +3

Due to the labor-intensive nature of manual test oracle construction, various automated testing techniques have been proposed to enhance the reliability of Natural Language Process…

cs.LG20227 cited

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

Jianping Zhang, Weibin Wu, Jen-tse Huang +4

Deep neural networks (DNNs) are known to be vulnerable to adversarial examples. It is thus imperative to devise effective attack algorithms to identify the deficiencies of DNNs bef…

cs.CL20221 cited

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation

Wenxuan Wang, Wenxiang Jiao, Yongchang Hao +4

In this paper, we present a substantial step in better understanding the SOTA sequence-to-sequence (Seq2Seq) pretraining for neural machine translation~(NMT). We focus on studying…

cs.CL20219 cited

Language Models are Good Translators

Shuo Wang, Zhaopeng Tu, Zhixing Tan +3

Recent years have witnessed the rapid advance in neural machine translation (NMT), the core of which lies in the encoder-decoder architecture. Inspired by the recent progress of la…

cs.CL20201 cited

Rethinking the Value of Transformer Components

Wenxuan Wang, Zhaopeng Tu

Transformer becomes the state-of-the-art translation model, while it is not well studied how each intermediate component contributes to the model performance, which poses significa…