Jing Liu

According to our database, Jing Liu authored at least 48 papers between 2010 and 2024.

Collaborative distances:

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

2024

Dense Text Retrieval Based on Pretrained Language Models: A Survey.

Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen

ACM Trans. Inf. Syst., July, 2024

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering.

Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen

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

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents.

Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang

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

2023

GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue.

Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin

CoRR, 2023

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang

CoRR, 2023

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.

Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Thorough Examination on Zero-shot Dense Retrieval.

Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen

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

TOME: A Two-stage Approach for Model-based Retrieval.

Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang

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

2022

An Interpretability Evaluation Benchmark for Pre-trained Language Models.

Yaozong Shen, Lijie Wang, Ying Chen, Xinyan Xiao, Jing Liu, Hua Wu

CoRR, 2022

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.

Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin

CoRR, 2022

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine.

Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, Qiaoqiao She, Jing Liu, Hua Wu, Haifeng Wang

CoRR, 2022

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models.

Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine.

Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, Qiaoqiao She, Jing Liu, Hua Wu, Haifeng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering.

Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu

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

2021

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.

Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications.

Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu, Haifeng Wang

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

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.

Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models.

Hongxuan Tang, Jing Liu, Hongyu Li, Yu Hong, Hua Wu, Haifeng Wang

CoRR, 2020

A Robust Adversarial Training Approach to Machine Reading Comprehension.

Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Towards Time-Aware Distant Supervision for Relation Extraction.

Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin

CoRR, 2019

Towards Robust Neural Machine Reading Comprehension via Question Paraphrases.

Ying Li, Hongyu Li, Jing Liu

Proceedings of the International Conference on Asian Language Processing, 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

Revisiting Distant Supervision for Relation Extraction.

Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Answer-focused and Position-aware Neural Question Generation.

Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang

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

Aggregated Semantic Matching for Short Text Entity Linking.

Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin, Rong Pan

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Neural Math Word Problem Solver with Reinforcement Learning.

Danqing Huang, Jing Liu, Chin-Yew Lin, Jian Yin

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.

An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.

Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang

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

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.

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

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

A Statistical Framework for Product Description Generation.

Jinpeng Wang, Yutai Hou, Jing Liu, Yunbo Cao, Chin-Yew Lin

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs.

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen

World Wide Web, 2016

Tagging Users' Social Circles via Multiple Linear Regression.

Hailong Qin, Jing Liu, Chin-Yew Lin, Ting Liu

Informatics, 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

RBPB: Regularization-Based Pattern Balancing Method for Event Extraction.

Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui

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

News Citation Recommendation with Implicit and Explicit Semantics.

Hao Peng, Jing Liu, Chin-Yew Lin

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

2015

Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs.

Jyun-Yu Jiang, Jing Liu, Chin-Yew Lin, Pu-Jen Cheng

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 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

What's in a name?: an unsupervised approach to link users across communities.

Jing Liu, Fan Zhang, Xinying Song, Young-In Song, Chin-Yew Lin, Hsiao-Wuen Hon

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

A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers.

Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu

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

2012

An unsupervised method for author extraction from web pages containing user-generated content.

Jing Liu, Xinying Song, Jingtian Jiang, Chin-Yew Lin

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Competition-based user expertise score estimation.

Jing Liu, Young-In Song, Chin-Yew Lin

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining.

Fan Zhang, Shuming Shi, Jing Liu, Shuqi Sun, Chin-Yew Lin

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Microsoft Research Asia with Redmond at the NTCIR-8 Community QA Pilot Task.

Young-In Song, Jing Liu, Tetsuya Sakai, Xin-Jing Wang, Guwen Feng, Yunbo Cao, Hisami Suzuki, Chin-Yew Lin

Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010

Automatic extraction of web data records containing user-generated content.

Xinying Song, Jing Liu, Yunbo Cao, Chin-Yew Lin, Hsiao-Wuen Hon

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010