Shengyao Zhuang

100 papers A* 20Misc 6Journal 52Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentIR: Reasoning-Aware Retrieval for Deep Research Agents. CoRR Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai, Victor Zhong
2026	—	`conf`	Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models? ECIR (2) Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin
2026	J	`jnl`	LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. CoRR Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar
2026	J	`jnl`	Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking. CoRR Haodong Chen, Shengyao Zhuang, Zheng Yao, Guido Zuccon, Teerapong Leelanupab
2026	—	`conf`	[inline-graphic not available: see fulltext] Starbucks: Improved Training for 2D Matryoshka Embeddings. ECIR (1) Shengyao Zhuang, Shuai Wang, Fabio Zheng, Bevan Koopman, Guido Zuccon
2025	A*	`conf`	2D Matryoshka Training for Information Retrieval. SIGIR Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2025	—	`conf`	An Investigation of Prompt Variations for Zero-Shot LLM-Based Rankers. ECIR (2) Shuoqi Sun, Shengyao Zhuang, Shuai Wang, Guido Zuccon
2025	J	`jnl`	BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. CoRR Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Sahel Sharifymoghaddam, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin
2025	—	`conf`	Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora. ECIR (1) Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen
2025	—	`conf`	Distillation versus Contrastive Learning: How to Train Your Rerankers. IJCNLP-AACL (Findings) Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Vivek Srikumar
2025	J	`jnl`	Distillation versus Contrastive Learning: How to Train Your Rerankers. CoRR Zhichao Xu, Zhiqi Huang, Shengyao Zhuang, Ashim Gupta, Vivek Srikumar
2025	A*	`conf`	Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. SIGIR Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	J	`jnl`	Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. CoRR Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	J	`jnl`	LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback. CoRR Hang Li, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2025	J	`jnl`	Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models. CoRR Jieran Li, Xiuyuan Hu, Yang Zhao, Shengyao Zhuang, Hao Zhang
2025	J	`jnl`	MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed. CoRR Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin
2025	A*	`conf`	R SIGIR Guido Zuccon, Shengyao Zhuang, Xueguang Ma
2025	—	`conf`	Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking. ECIR (3) Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
2025	J	`jnl`	Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. CoRR Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	—	`conf`	ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. WWW (Companion Volume) Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2025	J	`jnl`	Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025	J	`jnl`	Rethinking On-policy Optimization for Query Augmentation. CoRR Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar
2025	—	`conf`	SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R SIGIR-AP Guido Zuccon, Shengyao Zhuang, Xueguang Ma, Bevan Koopman
2025	—	`conf`	Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders. ECIR (2) Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
2025	A*	`conf`	Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. SIGIR Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
2025	J	`jnl`	Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. CoRR Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
2025	—	`conf`	The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. ACL (1) Aaron Nicolson, Shengyao Zhuang, Jason Dowling, Bevan Koopman
2025	—	`conf`	VISA: Retrieval Augmented Generation with Visual Source Attribution. ACL (1) Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin
2024	J	`jnl`	2D Matryoshka Training for Information Retrieval. CoRR Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	A*	`conf`	A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. SIGIR Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking. CoRR Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
2024	J	`jnl`	AgAsk: an agent to help answer farmer's questions from scientific documents. Int. J. Digit. Libr. Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon
2024	J	`jnl`	An Investigation of Prompt Variations for Zero-shot LLM-based Rankers. CoRR Shuoqi Sun, Shengyao Zhuang, Shuai Wang, Guido Zuccon
2024	A*	`conf`	Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. SIGIR Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. CoRR Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	Does Vec2Text Pose a New Corpus Poisoning Threat? CoRR Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	A*	`conf`	Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. SIGIR Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	J	`jnl`	Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. CoRR Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	A*	`conf`	FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. SIGIR Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon
2024	J	`jnl`	FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. CoRR Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon
2024	A*	`conf`	Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures. SIGIR Shuai Wang, Shengyao Zhuang, Guido Zuccon
2024	J	`jnl`	Large Language Models for Stemming: Promises, Pitfalls and Failures. CoRR Shuai Wang, Shengyao Zhuang, Guido Zuccon
2024	A*	`conf`	Leveraging LLMs for Unsupervised Dense Retriever Ranking. SIGIR Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	J	`jnl`	Leveraging LLMs for Unsupervised Dense Retriever Ranking. CoRR Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024	A*	`conf`	PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. EMNLP Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2024	J	`jnl`	PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. CoRR Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2024	J	`jnl`	ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. CoRR Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	A*	`conf`	Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval. SIGIR Watheq Mansour, Shengyao Zhuang, Guido Zuccon, Joel Mackenzie
2024	J	`jnl`	Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders. CoRR Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
2024	J	`jnl`	Starbucks: Improved Training for 2D Matryoshka Embeddings. CoRR Shengyao Zhuang, Shuai Wang, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models. CoRR Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. CoRR Aaron Nicolson, Shengyao Zhuang, Jason Dowling, Bevan Koopman
2024	—	`conf`	Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems. SIGIR-AP Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon
2024	J	`jnl`	Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems. CoRR Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon
2024	J	`jnl`	VISA: Retrieval Augmented Generation with Visual Source Attribution. CoRR Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin
2024	—	`conf`	Zero-Shot Generative Large Language Models for Systematic Review Screening Automation. ECIR (1) Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon
2024	J	`jnl`	Zero-shot Generative Large Language Models for Systematic Review Screening Automation. CoRR Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon
2023	J	`jnl`	A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. CoRR Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
2023	A*	`conf`	Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. SIGIR Shengyao Zhuang, Linjun Shou, Guido Zuccon
2023	J	`jnl`	Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. CoRR Shengyao Zhuang, Linjun Shou, Guido Zuccon
2023	Misc	`conf`	Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. ICTIR Guido Zuccon, Harrisen Scells, Shengyao Zhuang
2023	J	`jnl`	Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. CoRR Guido Zuccon, Harrisen Scells, Shengyao Zhuang
2023	Misc	`conf`	Exploring the Representation Power of SPLADE Models. ICTIR Joel Mackenzie, Shengyao Zhuang, Guido Zuccon
2023	J	`jnl`	Exploring the Representation Power of SPLADE Models. CoRR Joel Mackenzie, Shengyao Zhuang, Guido Zuccon
2023	—	`conf`	Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. EMNLP (Findings) Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon
2023	J	`jnl`	Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. CoRR Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon
2023	J	`jnl`	Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. ACM Trans. Inf. Syst. Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2023	—	`conf`	Selecting which Dense Retriever to use for Zero-Shot Search. SIGIR-AP Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
2023	J	`jnl`	Selecting which Dense Retriever to use for Zero-Shot Search. CoRR Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
2023	—	`conf`	Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models. TREC Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2023	—	`conf`	Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
2023	J	`jnl`	Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
2022	J	`jnl`	AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents. CoRR Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon
2022	A*	`conf`	Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. SIGIR Shengyao Zhuang, Guido Zuccon
2022	J	`jnl`	Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training. CoRR Shengyao Zhuang, Guido Zuccon
2022	J	`jnl`	Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang
2022	A*	`conf`	CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. SIGIR Shengyao Zhuang, Guido Zuccon
2022	J	`jnl`	CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. CoRR Shengyao Zhuang, Guido Zuccon
2022	A*	`conf`	Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. SIGIR Shengyao Zhuang, Hang Li, Guido Zuccon
2022	J	`jnl`	Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. CoRR Shengyao Zhuang, Hang Li, Guido Zuccon
2022	—	`conf`	Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	Misc	`conf`	Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. ADCS Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	A*	`conf`	Reduce, Reuse, Recycle: Green Information Retrieval Research. SIGIR Harrisen Scells, Shengyao Zhuang, Guido Zuccon
2022	J	`jnl`	Reinforcement Online Learning to Rank with Unbiased Reward Shaping. CoRR Shengyao Zhuang, Zhihao Qiao, Guido Zuccon
2022	J	`jnl`	Reinforcement online learning to rank with unbiased reward shaping. Inf. Retr. J. Shengyao Zhuang, Zhihao Qiao, Guido Zuccon
2022	Misc	`conf`	Robustness of Neural Rankers to Typos: A Comparative Study. ADCS Shengyao Zhuang, Xinyu Mao, Guido Zuccon
2022	A*	`conf`	To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. SIGIR Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	J	`jnl`	To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2021	Misc	`conf`	BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. ICTIR Shuai Wang, Shengyao Zhuang, Guido Zuccon
2021	—	`conf`	Dealing with Typos for BERT-based Passage Retrieval and Ranking. EMNLP (1) Shengyao Zhuang, Guido Zuccon
2021	J	`jnl`	Dealing with Typos for BERT-based Passage Retrieval and Ranking. CoRR Shengyao Zhuang, Guido Zuccon
2021	—	`conf`	Deep Query Likelihood Model for Information Retrieval. ECIR (2) Shengyao Zhuang, Hang Li, Guido Zuccon
2021	Misc	`conf`	Effective and Privacy-preserving Federated Online Learning to Rank. ICTIR Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon
2021	J	`jnl`	Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion. CoRR Shengyao Zhuang, Guido Zuccon
2021	—	`conf`	Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. ECIR (2) Shuyi Wang, Shengyao Zhuang, Guido Zuccon
2021	A*	`conf`	How do Online Learning to Rank Methods Adapt to Changes of Intent? SIGIR Shengyao Zhuang, Guido Zuccon
2021	J	`jnl`	Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2021	J	`jnl`	Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. CoRR Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2021	A*	`conf`	TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. SIGIR Shengyao Zhuang, Guido Zuccon
2020	—	`conf`	Counterfactual Online Learning to Rank. ECIR (1) Shengyao Zhuang, Guido Zuccon