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Journal Articles
- 2023
[j1]Zhibin Lan, Wei Li, Jinsong Su, Xinyan Xiao, Jiachen Liu, Wenhao Wu, Yajuan Lyu:
FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning. J. Artif. Intell. Res. 76: 1281-1303 (2023)
Conference and Workshop Papers
- 2023
- [c40]Jianguo Mao, Wenbin Jiang, Hong Liu, Xiangdong Wang, Yajuan Lyu:
Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering. AAAI 2023: 13380-13388 - [c39]Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Sujian Li, Yajuan Lyu:
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning. ACL (1) 2023: 307-321 - [c38]Mingyu Zheng, Yang Hao, Wenbin Jiang, Zheng Lin, Yajuan Lyu, Qiaoqiao She, Weiping Wang:
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures. ACL (1) 2023: 5074-5094 - [c37]Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao:
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) 2023: 8186-8207 - [c36]Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He:
Semantic-Driven Instance Generation for Table Question Answering. DASFAA (1) 2023: 3-18 - [c35]Mingyu Zheng, Hao Yang, Wenbin Jiang, Zheng Lin, Yajuan Lyu, Qiaoqiao She, Weiping Wang:
Chain-of-Thought Reasoning in Tabular Language Models. EMNLP (Findings) 2023: 11006-11019 - [c34]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR 2023 - [c33]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang:
Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) 2023: 604-615 - [c32]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) 2023: 772-783 - 2022
- [c31]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL (2) 2022: 290-296 - [c30]Yu Xia, Quan Wang, Yajuan Lyu, Yong Zhu, Wenhao Wu, Sujian Li, Dai Dai:
Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples. ACL (Findings) 2022: 2291-2300 - [c29]Jianguo Mao, Jiyuan Zhang, Zengfeng Zeng, Weihua Peng, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yajuan Lyu:
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering. COLING 2022: 1480-1489 - [c28]Yu Xia, Wenbin Jiang, Yajuan Lyu, Sujian Li:
A Transition-based Method for Complex Question Understanding. COLING 2022: 4203-4211 - [c27]Jianguo Mao, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yu Xia, Yajuan Lyu, Qiaoqiao She:
Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning. EMNLP 2022: 5318-5325 - [c26]Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Sujian Li, Yajuan Lyu:
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. EMNLP 2022: 7160-7176 - [c25]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2022: 7328-7338 - [c24]Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang:
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations. ACM Multimedia 2022: 4584-4593 - [c23]Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao:
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT 2022: 659-665 - [c22]Jianguo Mao, Wenbin Jiang, Xiangdong Wang, Zhifan Feng, Yajuan Lyu, Hong Liu, Yong Zhu:
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering. NAACL-HLT 2022: 3894-3904 - 2021
- [c21]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI 2021: 14149-14157 - [c20]Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu:
Link Prediction on N-ary Relational Facts: A Graph-based Approach. ACL/IJCNLP (Findings) 2021: 396-407 - [c19]Songtai Dai, Quan Wang, Yajuan Lyu, Yong Zhu:
BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task. BioNLP@NAACL-HLT 2021: 103-111 - 2020
- [c18]Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. AAAI 2020: 9032-9039 - [c17]Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu:
Event Extraction as Multi-turn Question Answering. EMNLP (Findings) 2020: 829-838 - [c16]Wenbin Jiang, Mengfei Guo, Yufeng Chen, Ying Li, Jinan Xu, Yajuan Lyu, Yong Zhu:
Multi-view Classification Model for Knowledge Graph Completion. AACL/IJCNLP 2020: 726-734 - [c15]Zhifan Feng, Qi Wang, Wenbin Jiang, Yajuan Lyu, Yong Zhu:
Knowledge-Enhanced Named Entity Disambiguation for Short Text. AACL/IJCNLP 2020: 735-744 - [c14]Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, Yong Zhu:
DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. NLPCC (2) 2020: 534-545 - 2019
- [c13]Dai Dai, Xinyan Xiao, Yajuan Lyu, Shan Dou, Qiaoqiao She, Haifeng Wang:
Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling. AAAI 2019: 6300-6308 - [c12]An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li:
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension. ACL (1) 2019: 2346-2357 - [c11]Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao:
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. EMNLP/IJCNLP (1) 2019: 5895-5900 - [c10]Shuangjie Li, Wei He, Yabing Shi, Wenbin Jiang, Haijin Liang, Ye Jiang, Yang Zhang, Yajuan Lyu, Yong Zhu:
DuIE: A Large-Scale Chinese Dataset for Information Extraction. NLPCC (2) 2019: 791-800 - [c9]Quan Wang, Wenquan Wu, Yabing Shi, Hongyu Li, Zhen Guo, Wei He, Hongyu Liu, Ying Chen, Yajuan Lyu, Hua Wu:
An Overview of the 2019 Language and Intelligence Challenge. NLPCC (2) 2019: 818-828 - 2018
- [c8]Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang:
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. QA@ACL 2018: 37-46 - [c7]An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li:
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task. QA@ACL 2018: 98-104 - [c6]Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu:
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension. ACL (1) 2018: 1715-1724 - [c5]Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
:
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. ACL (1) 2018: 1918-1927 - [c4]Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang:
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling. EMNLP 2018: 1787-1796 - [c3]Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang:
Answer-focused and Position-aware Neural Question Generation. EMNLP 2018: 3930-3939 - [c2]Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang:
Improving Neural Abstractive Document Summarization with Structural Regularization. EMNLP 2018: 4078-4087 - 2016
- [c1]Liang Wang, Sujian Li, Xinyan Xiao, Yajuan Lyu:
Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN. NLPCC/ICCPOL 2016: 177-188
Informal and Other Publications
- 2023
- [i16]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR abs/2303.13824 (2023) - 2022
- [i15]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2203.07782 (2022) - [i14]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu:
Mixture of Experts for Biomedical Question Answering. CoRR abs/2204.07469 (2022) - [i13]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. CoRR abs/2208.00399 (2022) - [i12]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. CoRR abs/2210.09708 (2022) - [i11]Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Sujian Li, Yajuan Lyu:
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. CoRR abs/2210.12367 (2022) - [i10]Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu:
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance. CoRR abs/2210.16031 (2022) - [i9]Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang:
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations. CoRR abs/2211.03314 (2022) - 2021
- [i8]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR abs/2102.10249 (2021) - [i7]Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu:
Link Prediction on N-ary Relational Facts: A Graph-based Approach. CoRR abs/2105.08476 (2021) - [i6]Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang:
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. CoRR abs/2110.07244 (2021) - 2019
- [i5]Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu:
CoKE: Contextualized Knowledge Graph Embedding. CoRR abs/1911.02168 (2019) - 2018
- [i4]Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang:
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. CoRR abs/1805.02220 (2018) - [i3]Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu:
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension. CoRR abs/1805.06145 (2018) - [i2]An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li:
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task. CoRR abs/1806.03578 (2018) - 2017
- [i1]Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang:
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. CoRR abs/1711.05073 (2017)
Coauthor Index
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