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ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning


Nov 22, 2021
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler


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Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing


Apr 18, 2021
Kai Hui, Klaus Berberich

* Appeared in ECIR 2017 

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Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context


Apr 17, 2021
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye


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BERT-QE: Contextualized Query Expansion for Document Re-ranking


Sep 15, 2020
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates

* Accepted as Findings paper in EMNLP 2020 

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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval


Oct 30, 2018
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu

* Full paper in EMNLP 2018 

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Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval


Nov 28, 2017
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

* To appear in WSDM 2018 

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DE-PACRR: Exploring Layers Inside the PACRR Model


Jul 24, 2017
Andrew Yates, Kai Hui

* Neu-IR 2017 SIGIR Workshop on Neural Information Retrieval 

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An Approach for Weakly-Supervised Deep Information Retrieval


Jul 24, 2017
Sean MacAvaney, Kai Hui, Andrew Yates

* Neu-IR 2017 SIGIR Workshop on Neural Information Retrieval 

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PACRR: A Position-Aware Neural IR Model for Relevance Matching


Jul 21, 2017
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

* To appear in EMNLP2017 

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