Quan Wang

According to our database, Quan Wang authored at least 31 papers between 2013 and 2023.

Collaborative distances:

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

2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

CoRR, 2023

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Calibration of Large Language Models and Alignment.

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

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

2022

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Review and Arrange: Curriculum Learning for Natural Language Understanding.

Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination.

Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang

CoRR, 2021

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Curriculum Learning for Natural Language Understanding.

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

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

2019

CoKE: Contextualized Knowledge Graph Embedding.

Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu

CoRR, 2019

Adaptive Convolution for Multi-Relational Learning.

Xiaotian Jiang, Quan Wang, Bin Wang

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

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension.

An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li

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

D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension.

Hongyu Li, Xiyuan Zhang, Yibing Liu, Yiming Zhang, Quan Wang, Xiangyang Zhou, Jing Liu, Hua Wu, Haifeng Wang

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Post Tuned Hashing: A New Approach to Indexing High-dimensional Data.

Zhendong Mao, Quan Wang, Yongdong Zhang, Bin Wang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Improving Knowledge Graph Embedding Using Simple Constraints.

Boyang Ding, Quan Wang, Bin Wang, Li Guo

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

Knowledge Graph Embedding With Iterative Guidance From Soft Rules.

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Knowledge Graph Embedding: A Survey of Approaches and Applications.

Quan Wang, Zhendong Mao, Bin Wang, Li Guo

IEEE Trans. Knowl. Data Eng., 2017

SSE: Semantically Smooth Embedding for Knowledge Graphs.

Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo

IEEE Trans. Knowl. Data Eng., 2017

Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017.

Boyang Ding, Quan Wang, Bin Wang

CoRR, 2017

Constructing and Embedding Abstract Event Causality Networks from Text Snippets.

Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Attentive Path Combination for Knowledge Graph Completion.

Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Multi-Granularity Chinese Word Embedding.

Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Jointly Embedding Knowledge Graphs and Logical Rules.

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks.

Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang

Proceedings of the COLING 2016, 2016

Knowledge Base Completion via Rule-Enhanced Relational Learning.

Shu Guo, Boyang Ding, Quan Wang, Lihong Wang, Bin Wang

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

Knowledge Base Completion via Coupled Path Ranking.

Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin

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

2015

Knowledge Base Completion Using Embeddings and Rules.

Quan Wang, Bin Wang, Li Guo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Context-Dependent Knowledge Graph Embedding.

Yuanfei Luo, Quan Wang, Bin Wang, Li Guo

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Semantically Smooth Knowledge Graph Embedding.

Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services.

Quan Wang, Jing Liu, Bin Wang, Li Guo

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Question Difficulty Estimation in Community Question Answering Services.

Jing Liu, Quan Wang, Chin-Yew Lin, Hsiao-Wuen Hon

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013