Kai Hui

According to our database, Kai Hui authored at least 52 papers between 2011 and 2024.

Collaborative distances:

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

2024

Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim

CoRR, 2024

2023

Dealing with textual noise for robust and effective BERT re-ranking.

Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun

Inf. Process. Manag., 2023

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.

Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky

CoRR, 2023

PaRaDe: Passage Ranking using Demonstrations with Large Language Models.

Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui

CoRR, 2023

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.

Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky

CoRR, 2023

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky

CoRR, 2023

RD-Suite: A Benchmark for Ranking Distillation.

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang

CoRR, 2023

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.

Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky

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

Learning List-Level Domain-Invariant Representations for Ranking.

Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RD-Suite: A Benchmark for Ranking Distillation.

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Does Generative Retrieval Scale to Millions of Passages?

Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran

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

PaRaDe: Passage Ranking using Demonstrations with LLMs.

Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui

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

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Retrieval Augmentation for T5 Re-ranker using External Sources.

Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler

CoRR, 2022

Transformer Memory as a Differentiable Search Index.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Incorporating Ranking Context for End-to-End BERT Re-ranking.

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

Proceedings of the Advances in Information Retrieval, 2022

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

Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler

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

2021

Contextualized query expansion via unsupervised chunk selection for text retrieval.

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

Inf. Process. Manag., 2021

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

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

CoRR, 2021

Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval.

Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Simplified TinyBERT: Knowledge Distillation for Document Retrieval.

Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun

Proceedings of the Advances in Information Retrieval, 2021

Question Answering using Web Lists.

Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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

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

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

2019

Overcoming low-utility facets for complex answer retrieval.

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

Inf. Retr. J., 2019

Content-Based Weak Supervision for Ad-Hoc Re-Ranking.

Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Neural relevance model using similarities with elite documents for effective clinical decision support.

Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun

Int. J. Data Min. Bioinform., 2018

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

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Characterizing Question Facets for Complex Answer Retrieval.

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

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

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

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

TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring.

Cancan Jin, Ben He, Kai Hui, Le Sun

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

2017

Automatic methods for low-cost evaluation and position-aware models for neural information retrieval.

Kai Hui

PhD thesis, 2017

DE-PACRR: Exploring Layers Inside the PACRR Model.

Andrew Yates, Kai Hui

CoRR, 2017

An Approach for Weakly-Supervised Deep Information Retrieval.

Sean MacAvaney, Kai Hui, Andrew Yates

CoRR, 2017

RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model.

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

CoRR, 2017

A Position-Aware Deep Model for Relevance Matching in Information Retrieval.

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

CoRR, 2017

Position-Aware Representations for Relevance Matching in Neural Information Retrieval.

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Contextualized PACRR for Complex Answer Retrieval.

Sean MacAvaney, Andrew Yates, Kai Hui

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Dealing with Incomplete Judgments in Cascade Measures.

Kai Hui, Klaus Berberich, Ida Mele

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

<i>Merge-Tie-Judge</i>: Low-Cost Preference Judgments with Ties.

Kai Hui, Klaus Berberich

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

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

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Low-Cost Preference Judgment via Ties.

Kai Hui, Klaus Berberich

Proceedings of the Advances in Information Retrieval, 2017

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

Kai Hui, Klaus Berberich

Proceedings of the Advances in Information Retrieval, 2017

A document-based neural relevance model for effective clinical decision support.

Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Cluster Hypothesis in Low-Cost IR Evaluation with Different Document Representations.

Kai Hui, Klaus Berberich

Proceedings of the 25th International Conference on World Wide Web, 2016

2015

Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation.

Kai Hui, Klaus Berberich

Proceedings of the String Processing and Information Retrieval, 2015

2014

Towards Robust & Reusable Evaluation for Novelty & Diversity.

Kai Hui

Proceedings of the 7th Workshop on Ph.D Students, 2014

2013

On Evaluating Query Performance Predictors.

Yu Huang, Tiejian Luo, Xiang Wang, Kai Hui, Wengjie Wang, Ben He

Proceedings of the Pervasive Computing and the Networked World, 2013

Sponsored Search Ad Selection by Keyword Structure Analysis.

Kai Hui, Bin Gao, Ben He, Tiejian Luo

Proceedings of the Advances in Information Retrieval, 2013

2011

GUCAS at TREC 2011 Microblog Track.

Xin Zhang, Kai Hui, Ben He, Tiejian Luo

Proceedings of The Twentieth Text REtrieval Conference, 2011

A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval.

Kai Hui, Ben He, Tiejian Luo, Bin Wang

Proceedings of the Advances in Information Retrieval Theory, 2011

Relevance weighting using within-document term statistics.

Kai Hui, Ben He, Tiejian Luo, Bin Wang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011