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 (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

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 (Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

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 (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 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; et al. (CoRR, 2024)

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 (CoRR, 2024)

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)

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, EMNLP 2023, Singapore, December 6-10, 2023, 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 (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 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 (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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 (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

How Does Generative Retrieval Scale to Millions of Passages? - Ronak Pradeep; Kai Hui; Jai Gupta; Ádám Dániel Lelkes; Honglei Zhuang; Jimmy Lin; Donald Metzler; Vinh Q. Tran (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)

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)

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)

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)

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)

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 (Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Incorporating Ranking Context for End-to-End BERT Re-ranking - Xiaoyang Chen; Kai Hui; Ben He; Xianpei Han; Le Sun; Zheng Ye (Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I, 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; et al. (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 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; et al. (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Transformer Memory as a Differentiable Search Index - Yi Tay; Vinh Q. Tran; Mostafa Dehghani; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin; Kai Hui; Zhe Zhao; Jai Prakash Gupta; Tal Schuster; William W. Cohen; et al. (CoRR, 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; Don Metzler (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)

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 (CoRR, 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; et al. (CoRR, 2022)

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 (CoRR, 2022)

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)

Question Answering using Web Lists - Anoop R. Katti; Kai Hui; Adrià de Gispert; Hagen Fürstenau (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Simplified TinyBERT: Knowledge Distillation for Document Retrieval - Xuanang Chen; Ben He; Kai Hui; Le Sun; Yingfei Sun (Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II, 2021)

Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval - Xuanang Chen; Ben He; Kai Hui; Yiran Wang; Le Sun; Yingfei Sun (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 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)

Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing - Kai Hui; Klaus Berberich (CoRR, 2021)

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; et al. (CoRR, 2021)

BERT-QE: Contextualized Query Expansion for Document Re-ranking - Zhi Zheng; Kai Hui; Ben He; Xianpei Han; Le Sun; Andrew Yates (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020)

BERT-QE: Contextualized Query Expansion for Document Re-ranking - Zhi Zheng; Kai Hui; Ben He; Xianpei Han; Le Sun; Andrew Yates (CoRR, 2020)

Simplified TinyBERT: Knowledge Distillation for Document Retrieval - Xuanang Chen; Ben He; Kai Hui; Le Sun; Yingfei Sun (CoRR, 2020)

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, SIGIR 2019, Paris, France, July 21-25, 2019, 2019)

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)

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, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 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 - November 4, 2018, 2018)

Overcoming Low-Utility Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH'18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018, 2018)

Characterizing Question Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 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, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, 2018)

Characterizing Question Facets for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (CoRR, 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 (CoRR, 2018)

Overcoming low-utility facets for complex answer retrieval - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui; Nazli Goharian; Ophir Frieder (CoRR, 2018)

Automatic methods for low-cost evaluation and position-aware models for neural information retrieval - Kai Hui (Saarland University, Saarbrücken, Germany, 2017)

A document-based neural relevance model for effective clinical decision support - Yanhua Ran; Ben He; Kai Hui; Jungang Xu; Le Sun (2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017, 2017)

Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing - Kai Hui; Klaus Berberich (Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings, 2017)

Low-Cost Preference Judgment via Ties - Kai Hui; Klaus Berberich (Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings, 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, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 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, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017, 2017)

Merge-Tie-Judge: Low-Cost Preference Judgments with Ties - Kai Hui; Klaus Berberich (Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017, 2017)

Contextualized PACRR for Complex Answer Retrieval - Sean MacAvaney; Andrew Yates; Kai Hui (Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017, 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, Perth, Australia, April 3-7, 2017, 2017)

A Position-Aware Deep Model for Relevance Matching in Information Retrieval - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

DE-PACRR: Exploring Layers Inside the PACRR Model - Andrew Yates; Kai Hui (CoRR, 2017)

RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model - Kai Hui; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

An Approach for Weakly-Supervised Deep Information Retrieval - Sean MacAvaney; Kai Hui; Andrew Yates (CoRR, 2017)

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, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume, 2016)

Selective Labeling and Incomplete Label Mitigation for Low-Cost Evaluation - Kai Hui; Klaus Berberich (String Processing and Information Retrieval - 22nd International Symposium, SPIRE 2015, London, UK, September 1-4, 2015, Proceedings, 2015)

Towards Robust & Reusable Evaluation for Novelty & Diversity - Kai Hui (Proceedings of the 7th Workshop on Ph.D Students, PIKM@CIKM 2014, Shanghai, China, November 3, 2014, 2014)

Sponsored Search Ad Selection by Keyword Structure Analysis - Kai Hui; Bin Gao; Ben He; Tiejian Luo (Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings, 2013)

On Evaluating Query Performance Predictors - Yu Huang; Tiejian Luo; Xiang Wang; Kai Hui; Wengjie Wang; Ben He (Pervasive Computing and the Networked World - Joint International Conference, ICPCA/SWS 2013, Vina del Mar, Chile, December 5-7, 2013. Revised Selected Papers, 2013)

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, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, 2011)

A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval - Kai Hui; Ben He; Tiejian Luo; Bin Wang (Advances in Information Retrieval Theory - Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings, 2011)

GUCAS at TREC 2011 Microblog Track - Xin Zhang; Kai Hui; Ben He; Tiejian Luo (Proceedings of The Twentieth Text REtrieval Conference, TREC 2011, Gaithersburg, Maryland, USA, November 15-18, 2011, 2011)