Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation. - Jingjing Xu 001; Xu Sun 001 (ACL (2), 2016)

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization. - Shuming Ma; Xu Sun 001; Jingjing Xu 001; Houfeng Wang; Wenjie Li 002; Qi Su 001 (ACL (2), 2017)

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network. - Jingjing Xu 001; Shuming Ma; Yi Zhang 050; Bingzhen Wei; Xiaoyan Cai; Xu Sun 001 (NLPCC, 2017)

Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network. - Jingjing Xu 001; Xu Sun 001 (CoRR, 2017)

Minimal Effort Back Propagation for Convolutional Neural Networks. - Bingzhen Wei; Xu Sun 001; Xuancheng Ren; Jingjing Xu 001 (CoRR, 2017)

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning. - Jingjing Xu 001; Xu Sun 001; Sujian Li; Xiaoyan Cai; Bingzhen Wei (CoRR, 2017)

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text. - Jingjing Xu 001; Ji Wen; Xu Sun 001; Qi Su 001 (CoRR, 2017)

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. - Jingjing Xu 001; Xu Sun 001; Qi Zeng 001; Xiaodong Zhang 022; Xuancheng Ren; Houfeng Wang; Wenjie Li 002 (ACL (1), 2018)

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. - Liangchen Luo; Jingjing Xu 001; Junyang Lin; Qi Zeng 001; Xu Sun 001 (EMNLP, 2018)

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. - Jingjing Xu 001; Xuancheng Ren; Junyang Lin; Xu Sun 001 (EMNLP, 2018)

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. - Jingjing Xu 001; Xuancheng Ren; Yi Zhang 050; Qi Zeng 001; Xiaoyan Cai; Xu Sun 001 (EMNLP, 2018)

Learning Sentiment Memories for Sentiment Modification without Parallel Data. - Yi Zhang 050; Jingjing Xu 001; Pengcheng Yang; Xu Sun 001 (EMNLP, 2018)

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text. - Jingjing Xu 001; Xu Sun 001; Xuancheng Ren; Junyang Lin; Bingzhen Wei; Wei Li 101 (CoRR, 2018)

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. - Guangxiang Zhao; Jingjing Xu 001; Qi Zeng 001; Xuancheng Ren (CoRR, 2018)

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet. - Shu Liu; Jingjing Xu 001; Xuancheng Ren; Xu Sun 001 (CoRR, 2018)

Knowledge-Aware Conversational Semantic Parsing Over Web Tables. - Yibo Sun; Duyu Tang; Nan Duan; Jingjing Xu 001; Xiaocheng Feng; Bing Qin 001 (CoRR, 2018)

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy. - Pengcheng Yang; Fuli Luo; Shuangzhi Wu; Jingjing Xu 001; Dongdong Zhang 001; Xu Sun 001 (CoRR, 2018)

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. - Jingjing Xu 001; Hangfeng He 001; Xu Sun 001; Xuancheng Ren; Sujian Li (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model. - Wei Li 101; Jingjing Xu 001; Yancheng He; Shengli Yan; Yunfang Wu; Xu Sun 001 (ACL (1), 2019)

Asking Clarification Questions in Knowledge-Based Question Answering. - Jingjing Xu 001; Yuechen Wang; Duyu Tang; Nan Duan; Pengcheng Yang; Qi Zeng 001; Ming Zhou 001; Xu Sun 001 (EMNLP/IJCNLP (1), 2019)

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification. - Jingjing Xu 001; Liang Zhao; Hanqi Yan; Qi Zeng 001; Yun Liang 001; Xu Sun 001 (EMNLP/IJCNLP (1), 2019)

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification. - Pengcheng Yang; Junyang Lin; Jingjing Xu 001; Jun Xie; Qi Su 001; Xu Sun 001 (EMNLP/IJCNLP (1), 2019)

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. - Guangxiang Zhao; Jingjing Xu 001; Qi Zeng 001; Xuancheng Ren; Xu Sun 001 (NAACL-HLT (1), 2019)

Understanding and Improving Layer Normalization. - Jingjing Xu 001; Xu Sun 001; Zhiyuan Zhang 001; Guangxiang Zhao; Junyang Lin (NeurIPS, 2019)

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network Based on HowNet. - Shu Liu; Jingjing Xu 001; Xuancheng Ren (NLPCC (1), 2019)

Knowledge-Aware Conversational Semantic Parsing over Web Tables. - Yibo Sun; Duyu Tang; Jingjing Xu 001; Nan Duan; Xiaocheng Feng; Bing Qin 001; Ting Liu 001; Ming Zhou 001 (NLPCC (1), 2019)

Learning Unsupervised Word Mapping via Maximum Mean Discrepancy. - Pengcheng Yang; Fuli Luo; Shuangzhi Wu; Jingjing Xu 001; Dongdong Zhang 001 (NLPCC (1), 2019)

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. - Wei Li 101; Jingjing Xu 001; Yancheng He; Shengli Yan; Yunfang Wu; Xu Sun 001 (CoRR, 2019)

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation. - Ruixuan Luo; Jingjing Xu 001; Yi Zhang 050; Xuancheng Ren; Xu Sun 001 (CoRR, 2019)

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. - Guangxiang Zhao; Xu Sun 001; Jingjing Xu 001; Zhiyuan Zhang 001; Liangchen Luo (CoRR, 2019)

Reasoning Over Semantic-Level Graph for Fact Checking. - Wanjun Zhong; Jingjing Xu 001; Duyu Tang; Zenan Xu; Nan Duan; Ming Zhou 001; Jiahai Wang; Jian Yin 001 (ACL, 2020)

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction. - Wei Li 101; Ruihan Bao; Keiko Harimoto; Deli Chen; Jingjing Xu 001; Qi Su 001 (IJCAI, 2020)

Graph-based Multi-hop Reasoning for Long Text Generation. - Liang Zhao; Jingjing Xu 001; Junyang Lin; Yichang Zhang; Hongxia Yang; Xu Sun 001 (CoRR, 2020)

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation. - Jingjing Xu 001; Hao Zhou 012; Chun Gan; Zaixiang Zheng; Lei Li 005 (CoRR, 2020)

Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method. - Xu Sun 001; Xuancheng Ren; Shuming Ma; Bingzhen Wei; Wei Li 101; Jingjing Xu 001; Houfeng Wang; Yi Zhang 050 (IEEE Trans. Knowl. Data Eng., 2020)

Vocabulary Learning via Optimal Transport for Neural Machine Translation. - Jingjing Xu 001; Hao Zhou 012; Chun Gan; Zaixiang Zheng; Lei Li 005 (ACL/IJCNLP (1), 2021)

KNAS: Green Neural Architecture Search. - Jingjing Xu 001; Liang Zhao; Junyang Lin; Rundong Gao; Xu Sun 001; Hongxia Yang (ICML, 2021)

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. - Zaixiang Zheng; Hao Zhou 012; Shujian Huang; Jiajun Chen 001; Jingjing Xu 001; Lei Li 005 (NeurIPS, 2021)

MTG: A Benchmarking Suite for Multilingual Text Generation. - Yiran Chen 013; Zhenqiao Song; Xianze Wu; Danqing Wang; Jingjing Xu 001; Jiaze Chen; Hao Zhou 012; Lei Li 005 (CoRR, 2021)

A Survey on Green Deep Learning. - Jingjing Xu 001; Wangchunshu Zhou; Zhiyi Fu; Hao Zhou 012; Lei Li 005 (CoRR, 2021)

Contextual Representation Learning beyond Masked Language Modeling. - Zhiyi Fu; Wangchunshu Zhou; Jingjing Xu 001; Hao Zhou 012; Lei Li 005 (ACL (1), 2022)

Calibrating Factual Knowledge in Pretrained Language Models. - Qingxiu Dong; Damai Dai; Yifan Song; Jingjing Xu 001; Zhifang Sui; Lei Li 005 (EMNLP (Findings), 2022)

switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder. - Zhenqiao Song; Hao Zhou 012; Lihua Qian; Jingjing Xu 001; Shanbo Cheng; Mingxuan Wang; Lei Li 005 (ICLR, 2022)

MTG: A Benchmark Suite for Multilingual Text Generation. - Yiran Chen 013; Zhenqiao Song; Xianze Wu; Danqing Wang; Jingjing Xu 001; Jiaze Chen; Hao Zhou 012; Lei Li 005 (NAACL-HLT (Findings), 2022)

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. - Jingjing Xu 001; Qingxiu Dong; Hongyi Liu 008; Lei Li 005 (CoRR, 2022)

Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation. - Fei Yuan 006; Yinquan Lu; Wenhao Zhu; Lingpeng Kong; Lei Li 005; Jingjing Xu 001 (CoRR, 2022)

OpenICL: An Open-Source Framework for In-context Learning. - Zhenyu Wu; Yaoxiang Wang; Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Jingjing Xu 001; Yu Qiao 001 (ACL (demo), 2023)

Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation. - Fei Yuan 006; Yinquan Lu; Wenhao Zhu; Lingpeng Kong; Lei Li 005; Yu Qiao 001; Jingjing Xu 001 (ACL (Findings), 2023)

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. - Wenhao Zhu; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001 (ACL (1), 2023)

Can Language Models Understand Physical Concepts? - Lei Li 039; Jingjing Xu 001; Qingxiu Dong; Ce Zheng; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (EMNLP, 2023)

Extrapolating Multilingual Understanding Models as Multilingual Generators. - Bohong Wu; Fei Yuan 006; Hai Zhao; Lei Li 005; Jingjing Xu 001 (EMNLP (Findings), 2023)

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Tianyu Liu 001; Ziwei Qin; Zhifang Sui (EMNLP (Findings), 2023)

Can We Edit Factual Knowledge by In-Context Learning? - Ce Zheng; Lei Li 039; Qingxiu Dong; Yuxuan Fan; Zhiyong Wu 011; Jingjing Xu 001; Baobao Chang (EMNLP, 2023)

Statistical Knowledge Assessment for Large Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (NeurIPS, 2023)

A Survey for In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Jingjing Xu 001; Lei Li 005; Zhifang Sui (CoRR, 2023)

Statistical Knowledge Assessment for Generative Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (CoRR, 2023)

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Ziwei Qin; Zhifang Sui (CoRR, 2023)

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. - Lei Li 039; Yuwei Yin; Shicheng Li; Liang Chen 024; Peiyi Wang; Shuhuai Ren; Mukai Li; Yazheng Yang; Jingjing Xu 001; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

Extrapolating Large Language Models to Non-English by Aligning Languages. - Wenhao Zhu; Yunzhe Lv; Qingxiu Dong; Fei Yuan 006; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (CoRR, 2023)

A Survey on In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Jingyuan Ma; Rui Li 094; Heming Xia; Jingjing Xu 001; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Lei Li 005; et al. (EMNLP, 2024)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. - Wenhao Zhu; Hongyi Liu 008; Qingxiu Dong; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (NAACL-HLT (Findings), 2024)

LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation. - Fei Yuan 006; Yinquan Lu; Lei Li 005; Jingjing Xu 001 (ACL (Findings), 2025)

Why Does the Effective Context Length of LLMs Fall Short? - Chenxin An; Jun Zhang 003; Ming Zhong 005; Lei Li 039; Shansan Gong; Yao Luo; Jingjing Xu 001; Lingpeng Kong (ICLR, 2025)