Publications

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.
[preprint]

Integrating Planning into Single-Turn Long-Form Text Generation
Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky.
[preprint]

Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers
Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang.
[preprint]

Multimodal Reranking for Knowledge-Intensive Visual Question Answering
Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky.
[preprint]

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis.
In Proc. of the 2024 Conf. on Empirical Methods in Natural Language Processing (EMNLP), 2024.
[preprint]

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.
In Proc. of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
[preprint]

A Setwise Approach for Effective and Highly Efficient Zero-Shot Ranking with Large Language Models
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon.
In Proc. of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
[preprint]

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.
In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
[preprint]

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.
In Findings of the Association for Computational Linguistics: NAACL 2024.
[preprint]

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.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2023. (spotlight)
[PDF][preprint]

RD-Suite: A Benchmark for Ranking Distillation
Zhen Qin, Rolf Jagerman, Rama Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023.
[PDF][preprint]

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.
In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
[PDF][preprint][checkpoints]

Query Expansion by Prompting Large Language Models
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
In Gen-IR@SIGIR 2023.
[PDF][preprint]

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
In Proc. of the 2023 Conf. on Empirical Methods in Natural Language Processing (EMNLP), 2023.
[PDF][preprint]

PaRaDe: Passage Ranking using Demonstrations with Large Language Models
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Negin Rahimi, Xuanhui Wang, Dana Alon, Andrew McCallum, Mohit Iyyer, Don Metzler, Kai Hui
In Findings of the Association for Computational Linguistics: EMNLP 2023.
[PDF]

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
[PDF]

Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention
Wen Wang, Mi Zhou, Beibei Li, Honglei Zhuang.
In Forthcoming at Information System Research, 2023.
[Link]

Rax: Composable Learning-to-Rank using JAX
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork.
In Proc. of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
[PDF]

Revisiting Two-tower Models for Unbiased Learning to Rank
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Mike Berdensky, Marc Najork.
In Proc. of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022.
[PDF]

Stochastic Retrieval-Conditioned Reranking
Hamed Zamani, Michael Bendersky, Don Metzler, Honglei Zhuang, Xuanhui Wang.
In Proc. of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR), 2022.
[PDF]

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, Cicero Nogueira dos Santos, Yi Tay, Don Metzler.
In Findings of the Association for Computational Linguistics: ACL-IJCNLP, 2022.
[PDF]

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Quoc Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Don Metzler.
In International Conference on Learning Representations (ICLR), 2022.
[PDF]

Cross-Positional Attention for Debiasing Clicks
Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen.
In Proc. of the Web Conference (WWW), 2021.
[PDF]

Ensemble Distillation for BERT-Based Ranking Models
Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 2021 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2021.
[PDF]

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork.
In International Conference on Learning Representations (ICLR), 2021.
[PDF]

Bootstrapping Recommendations at Chrome Web Store
Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
[PDF]

Interpretable Ranking with Generalized Additive Models
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian.
In Proc. of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
[PDF]

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith Hall, Ryan McDonald.
[arXiv]

Mining Text Outliers in Document Directories
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han.
In Proc. of 2020 IEEE International Conference on Data Mining (ICDM), 2020.
[PDF]

Permutation Equivariant Document Interaction Network for Neural Learning-to-Rank
Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2020.
(Best Short Paper Nomination)
[PDF]

Joint Aspect-Sentiment Analysis with Minimal User Guidance
Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han.
In Proc. of the 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2020.
[PDF]

Feature Transformation for Neural Ranking Models
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork.
In Proc. of the 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2020.
[PDF]

Adaptive Double-Exploration Tradeoff for Outlier Detection
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou.
In Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
[PDF]

DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring
Wen Wang, Han Zhao, Honglei Zhuang, Rema Padman, Nirav Shah.
In Proc. of The Web Conference (WWW), 2020.
[PDF]

Separate and Attend in Personal Email Search
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler.
In Proc. of the 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020.
[PDF]

Spherical Text Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2019.
[PDF]

Aspect-Based Sentiment Analysis with Minimal Guidance
Honglei Zhuang, Timothy Hanratty, Jiawei Han.
In Proc. of 2019 SIAM International Conference on Data Mining (SDM), 2019.
[PDF]

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance Kaplan, Shaowen Wang, Jiawei Han.
ACM Transactions on Intelligent Systems and Technology (TIST), 2018.
[PDF]

Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang.
In Proc. of Advances in Neural Information Processing Systems (NeurIPS), 2017.
[PDF]

Identifying Semantically Deviating Outlier Documents
Honglei Zhuang, Chi Wang, Fangbo Tao, Lance Kaplan, Jiawei Han.
In Proc. of the 2017 Conf. on Empirical Methods in Natural Language Processing (EMNLP), 2017.
[PDF]

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han.
In Proc. of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[PDF]

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han.
In Proc. of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.
[PDF]

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance Kaplan, Shaowen Wang, Jiawei Han.
In Proc. of 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016.
[PDF]

Multi-Dimensional, Phrase-Based Summarization in Text Cubes
Fangbo Tao, Honglei Zhuang, Chi Wang, Qi Wang, Taylor Cassidy, Lance Kaplan, Clare Voss, Jiawei Han.
IEEE Data Engineering Bulletin, 2016.
[PDF]

Debiasing Crowdsourced Batches
Honglei Zhuang, Aditya Parameswaran, Dan Roth, Jiawei Han.
In Proc. of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015.
[PDF]

Query-Based Outlier Detection in Heterogeneous Information Networks
Jonathan Kuck*, Honglei Zhuang*, Xifeng Yan, Hasan Cam, Jiawei Han.
In Proc. 18th International Conference on Extending Database Technology (EDBT), 2015. (*equal contribution)
[PDF]

Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Honglei Zhuang, Joel Young.
In Proc. of the 8th ACM International Conference on Web Search and Data Mining (WSDM), 2015.
[PDF]

Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks
Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Cam, Xifeng Yan, Jiawei Han.
In Proc. of 2014 IEEE International Conference on Data Mining (ICDM), 2014.
[PDF]

Role-aware Conformity Influence Modeling and Analysis in Social Networks
Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juanzi Li.
In Proc. of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014.
[PDF]

Influence Maximization in Dynamic Social Networks
Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun.
In Proc. of 2013 IEEE International Conference on Data Mining (ICDM), 2013.
[PDF]

SAE: Social Analytic Engine for Dynamic Networks
Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang.
In Proc. of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. (demo paper)
[PDF]

Actively Learning to Infer Social Ties
Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, Xia Wang.
Data Mining and Knowledge Discovery (DMKD), 2012.
[PDF]

Inferring Geographic Coincidence in Ephemeral Social Networks
Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang.
In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2012.
[PDF]

Learning to Infer Social Ties in Large Networks
Wenbin Tang, Honglei Zhuang, Jie Tang.
In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2011.
(Best Student Paper Runner-up)
[PDF]