Linjun Shou

According to our database, Linjun Shou authored at least 66 papers between 2019 and 2024.

Collaborative distances:

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

2024

Hypertext Entity Extraction in Webpage.

Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang

CoRR, 2024

2023

Improving Readability for Automatic Speech Recognition Transcription.

Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li

CoRR, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.

Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang

CoRR, 2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang

CoRR, 2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li

CoRR, 2023

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan

CoRR, 2023

Bridge the Gap between Language models and Tabular Understanding.

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li

CoRR, 2023

Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval.

Shengyao Zhuang, Linjun Shou, Guido Zuccon

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval.

Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Large Language Models are Diverse Role-Players for Summarization Evaluation.

Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency.

Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang

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

Instructed Language Models with Retrievers Are Powerful Entity Linkers.

Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang

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

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation.

Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Structural Contrastive Pretraining for Cross-Lingual Comprehension.

Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li

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

Alleviating Over-smoothing for Unsupervised Sentence Representation.

Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang

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

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension.

Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

WIERT: Web Information Extraction via Render Tree.

Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph Fusion Network for Text Classification.

Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang

Knowl. Based Syst., 2022

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation.

Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang

CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.

Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen

CoRR, 2022

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

CoRR, 2022

Transformer-Empowered Content-Aware Collaborative Filtering.

Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets.

Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling.

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang

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

Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval.

Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval.

Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang

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

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval.

Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang

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

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

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

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.

Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension.

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension.

Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang

CoRR, 2021

A Joint and Domain-Adaptive Approach to Spoken Language Understanding.

Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng

CoRR, 2021

CalibreNet: Calibration Networks for Multilingual Sequence Labeling.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang

Proceedings of the WSDM '21, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Language Scaling: Applications, Challenges and Approaches.

Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition.

Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

Proceedings of the International Joint Conference on Neural Networks, 2021

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.

Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding.

Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang

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

Syntax-Enhanced Pre-trained Model.

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan

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

Retrieval Enhanced Model for Commonsense Generation.

Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

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

GLGE: A New General Language Generation Evaluation Benchmark.

Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

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

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.

Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan

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

Reinforced Multi-Teacher Selection for Knowledge Distillation.

Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

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

2020

Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding.

Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen

CoRR, 2020

Pre-training Text Representations as Meta Learning.

Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu

CoRR, 2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning.

Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou

CoRR, 2020

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou

CoRR, 2020

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System.

Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering.

Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension.

Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension.

Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Graph Representation of Semi-structured Data for Web Question Answering.

Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation.

Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.

Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin

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

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension.

Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang

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

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering.

Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System.

Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang

CoRR, 2019

NeuronBlocks - Building Your NLP DNN Models Like Playing Lego.

Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang

CoRR, 2019

A Recurrent Attention Network for Judgment Prediction.

Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks.

Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou

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

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego.

Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang

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