Search Results for author: Jiangtao Feng

Found 12 papers, 6 papers with code

CoNT: Contrastive Neural Text Generation

1 code implementation29 May 2022 Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang

We validate CoNT on five generation tasks with ten benchmarks, including machine translation, summarization, code comment generation, data-to-text generation and commonsense generation.

Code Comment Generation Contrastive Learning +3

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

1 code implementation16 Feb 2022 Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong

There is a growing interest in dataset generation recently due to the superior generative capacity of large pre-trained language models (PLMs).

Knowledge Distillation Natural Language Inference +5

Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks

no code implementations22 Mar 2021 Liping Yuan, Jiangtao Feng, Xiaoqing Zheng, Xuanjing Huang

The key idea is that at each time step, the network takes as input a ``bundle'' of similar words predicted at the previous step instead of a single ground truth.

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

1 code implementation EMNLP 2020 Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei LI

We investigate the following question for machine translation (MT): can we develop a single universal MT model to serve as the common seed and obtain derivative and improved models on arbitrary language pairs?

Ranked #3 on Machine Translation on WMT2014 English-French (using extra training data)

Machine Translation Translation

Cross-Lingual Vision-Language Navigation

2 code implementations24 Oct 2019 An Yan, Xin Eric Wang, Jiangtao Feng, Lei LI, William Yang Wang

Commanding a robot to navigate with natural language instructions is a long-term goal for grounded language understanding and robotics.

Domain Adaptation Navigate +2

Neural Phrase-to-Phrase Machine Translation

no code implementations6 Nov 2018 Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou

We also design an efficient dynamic programming algorithm to decode segments that allows the model to be trained faster than the existing neural phrase-based machine translation method by Huang et al. (2018).

Machine Translation Translation

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