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Kai Hui

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ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Apr 25, 2022
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cicero Nogueira dos Santos, Yi Tay, Don Metzler

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Transformer Memory as a Differentiable Search Index

Feb 16, 2022
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W. Cohen, Donald Metzler

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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

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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

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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

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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

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DE-PACRR: Exploring Layers Inside the PACRR Model

Jul 24, 2017
Andrew Yates, Kai Hui

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An Approach for Weakly-Supervised Deep Information Retrieval

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

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