Search Results for author: Yuqing Tang

Found 14 papers, 5 papers with code

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders

no code implementations EACL 2021 Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li

Recent work in multilingual translation advances translation quality surpassing bilingual baselines using deep transformer models with increased capacity.

Machine Translation Translation

Incremental user embedding modeling for personalized text classification

no code implementations13 Feb 2022 Ruixue Lian, Che-Wei Huang, Yuqing Tang, Qilong Gu, Chengyuan Ma, Chenlei Guo

Individual user profiles and interaction histories play a significant role in providing customized experiences in real-world applications such as chatbots, social media, retail, and education.

Classification Multi-class Classification +2

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models

no code implementations ACL 2021 Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli

We present a simple yet effective approach to build multilingual speech-to-text (ST) translation through efficient transfer learning from a pretrained speech encoder and text decoder.

Text Generation Transfer Learning +1

Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning

1 code implementation12 Jul 2021 Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn

Neural machine translation systems are known to be vulnerable to adversarial test inputs, however, as we show in this paper, these systems are also vulnerable to training attacks.

Data Poisoning Machine Translation +2

LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models

no code implementations7 Jun 2021 Hongyu Gong, Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán

Cross-lingual document representations enable language understanding in multilingual contexts and allow transfer learning from high-resource to low-resource languages at the document level.

Sentence Embeddings Transfer Learning

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning

no code implementations2 Nov 2020 Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzman, Benjamin I. P. Rubinstein, Trevor Cohn

In this paper, we show that targeted attacks on black-box NMT systems are feasible, based on poisoning a small fraction of their parallel training data.

Data Poisoning Machine Translation +1

Multilingual Speech Translation with Efficient Finetuning of Pretrained Models

no code implementations24 Oct 2020 Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli

We present a simple yet effective approach to build multilingual speech-to-text (ST) translation by efficient transfer learning from pretrained speech encoder and text decoder.

Cross-Lingual Transfer Text Generation +2

Deep Transformers with Latent Depth

1 code implementation NeurIPS 2020 Xi-An Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong

As an extension of this framework, we propose a novel method to train one shared Transformer network for multilingual machine translation with different layer selection posteriors for each language pair.

Language Modelling Machine Translation +2

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

3 code implementations2 Aug 2020 Yuqing Tang, Chau Tran, Xi-An Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan

Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages.

Machine Translation Translation

Cross-lingual Retrieval for Iterative Self-Supervised Training

1 code implementation NeurIPS 2020 Chau Tran, Yuqing Tang, Xi-An Li, Jiatao Gu

Recent studies have demonstrated the cross-lingual alignment ability of multilingual pretrained language models.

Pretrained Language Models Translation +1

Reasoning about the Impacts of Information Sharing

no code implementations19 Nov 2013 Chatschik Bisdikian, Federico Cerutti, Yuqing Tang, Nir Oren

In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maximise its utility.

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