Kai Hui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
11
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | 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 |
| 2024 | SIGIR | Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? | Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | How Does Generative Retrieval Scale to Millions of Passages? | Ronak Pradeep, Kai Hui, Jai Gupta, dm D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran |
| 2023 | SIGIR | 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 |
| 2022 | ACL | 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, Ccero Nogueira dos Santos, Yi Tay, Donald Metzler |
| 2022 | ECIR | Incorporating Ranking Context for End-to-End BERT Re-ranking. | Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye |
| 2022 | ICLR | 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 |
| 2021 | CIKM | Question Answering using Web Lists. | Anoop R. Katti, Kai Hui, Adri de Gispert, Hagen Frstenau |
| 2021 | ECIR | Simplified TinyBERT: Knowledge Distillation for Document Retrieval. | Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun |
| 2021 | SIGIR | Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. | Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun |
| 2020 | EMNLP | BERT-QE: Contextualized Query Expansion for Document Re-ranking. | Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates |
| 2019 | SIGIR | Content-Based Weak Supervision for Ad-Hoc Re-Ranking. | Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder |
| 2018 | ACL | TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. | Cancan Jin, Ben He, Kai Hui, Le Sun |
| 2018 | EMNLP | 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 |
| 2018 | SIGIR | Characterizing Question Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |
| 2018 | SIGIR | Overcoming Low-Utility Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |
| 2018 | WSDM | Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2017 | ECIR | Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing. | Kai Hui, Klaus Berberich |
| 2017 | ECIR | Low-Cost Preference Judgment via Ties. | Kai Hui, Klaus Berberich |
| 2017 | EMNLP | PACRR: A Position-Aware Neural IR Model for Relevance Matching. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2017 | ICTIR | Untitled record | Kai Hui, Klaus Berberich |
| 2017 | ICTIR | Dealing with Incomplete Judgments in Cascade Measures. | Kai Hui, Klaus Berberich, Ida Mele |
| 2017 | WWW | Position-Aware Representations for Relevance Matching in Neural Information Retrieval. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2016 | WWW | Cluster Hypothesis in Low-Cost IR Evaluation with Different Document Representations. | Kai Hui, Klaus Berberich |
| 2015 | SPIRE | Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation. | Kai Hui, Klaus Berberich |
| 2014 | CIKM | Towards Robust & Reusable Evaluation for Novelty & Diversity. | Kai Hui |
| 2013 | ECIR | Sponsored Search Ad Selection by Keyword Structure Analysis. | Kai Hui, Bin Gao, Ben He, Tiejian Luo |
| 2011 | CIKM | Relevance weighting using within-document term statistics. | Kai Hui, Ben He, Tiejian Luo, Bin Wang |
| 2011 | ICTIR | A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. | Kai Hui, Ben He, Tiejian Luo, Bin Wang |