Jingjing Xu

According to our database, Jingjing Xu authored at least 60 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.

Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

A Survey on In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Zhifang Sui

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Extrapolating Large Language Models to Non-English by Aligning Languages.

Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

CoRR, 2023

M³IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui

CoRR, 2023

Statistical Knowledge Assessment for Generative Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

CoRR, 2023

A Survey for In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui

CoRR, 2023

Statistical Knowledge Assessment for Large Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can We Edit Factual Knowledge by In-Context Learning?

Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Extrapolating Multilingual Understanding Models as Multilingual Generators.

Bohong Wu, Fei Yuan, Hai Zhao, Lei Li, Jingjing Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation.

Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation.

Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Yu Qiao, Jingjing Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation.

Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Jingjing Xu

CoRR, 2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models.

Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li

CoRR, 2022

MTG: A Benchmark Suite for Multilingual Text Generation.

Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder.

Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Calibrating Factual Knowledge in Pretrained Language Models.

Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contextual Representation Learning beyond Masked Language Modeling.

Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Survey on Green Deep Learning.

Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li

CoRR, 2021

MTG: A Benchmarking Suite for Multilingual Text Generation.

Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li

CoRR, 2021

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation.

Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

KNAS: Green Neural Architecture Search.

Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Vocabulary Learning via Optimal Transport for Neural Machine Translation.

Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.

Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang

IEEE Trans. Knowl. Data Eng., 2020

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation.

Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li

CoRR, 2020

Graph-based Multi-hop Reasoning for Long Text Generation.

Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun

CoRR, 2020

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.

Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reasoning Over Semantic-Level Graph for Fact Checking.

Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.

Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo

CoRR, 2019

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.

Ruixuan Luo, Jingjing Xu, Yi Zhang, Xuancheng Ren, Xu Sun

CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

CoRR, 2019

Learning Unsupervised Word Mapping via Maximum Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledge-Aware Conversational Semantic Parsing over Web Tables.

Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network Based on HowNet.

Shu Liu, Jingjing Xu, Xuancheng Ren

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Understanding and Improving Layer Normalization.

Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.

Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification.

Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asking Clarification Questions in Knowledge-Based Question Answering.

Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.

Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, Sujian Li

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun

CoRR, 2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables.

Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin

CoRR, 2018

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.

Shu Liu, Jingjing Xu, Xuancheng Ren, Xu Sun

CoRR, 2018

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren

CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.

Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li

CoRR, 2018

Learning Sentiment Memories for Sentiment Modification without Parallel Data.

Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.

Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.

Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.

Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.

Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.

Jingjing Xu, Ji Wen, Xu Sun, Qi Su

CoRR, 2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning.

Jingjing Xu, Xu Sun, Sujian Li, Xiaoyan Cai, Bingzhen Wei

CoRR, 2017

Minimal Effort Back Propagation for Convolutional Neural Networks.

Bingzhen Wei, Xu Sun, Xuancheng Ren, Jingjing Xu

CoRR, 2017

Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.

Jingjing Xu, Xu Sun

CoRR, 2017

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.

Jingjing Xu, Shuming Ma, Yi Zhang, Bingzhen Wei, Xiaoyan Cai, Xu Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.

Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation.

Jingjing Xu, Xu Sun

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016