Shengyao Zhuang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 64

Top Topics

Federated Search

Information Retrieval

Pseudo Relevance Feedback

Top Venues

Publications

Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models. CoRR (2024)
Aaron Nicolson, Shengyao Zhuang, Jason Dowling, Bevan Koopman
The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. CoRR (2024)
Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. CoRR (2024)
Shuoqi Sun, Shengyao Zhuang, Shuai Wang, Guido Zuccon
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers. CoRR (2024)
Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. CoRR (2024)
Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking. CoRR (2024)
Shuai Wang, Shengyao Zhuang, Guido Zuccon
Large Language Models for Stemming: Promises, Pitfalls and Failures. CoRR (2024)
Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon
Zero-shot Generative Large Language Models for Systematic Review Screening Automation. CoRR (2024)
Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon
Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems. CoRR (2024)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Leveraging LLMs for Unsupervised Dense Retriever Ranking. SIGIR (2024)
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. SIGIR (2024)
Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon
Zero-Shot Generative Large Language Models for Systematic Review Screening Automation. ECIR (1) (2024)
Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. CoRR (2024)
Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. CoRR (2024)
Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. SIGIR (2024)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Leveraging LLMs for Unsupervised Dense Retriever Ranking. CoRR (2024)
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. CoRR (2024)
Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders. CoRR (2024)
Watheq Mansour, Shengyao Zhuang, Guido Zuccon, Joel Mackenzie
Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval. SIGIR (2024)
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. SIGIR (2024)
Shuai Wang, Shengyao Zhuang, Guido Zuccon
Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures. SIGIR (2024)
Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. SIGIR (2024)
Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. EMNLP (Findings) (2023)
Shengyao Zhuang, Linjun Shou, Guido Zuccon
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. CoRR (2023)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP (2023)
Joel Mackenzie, Shengyao Zhuang, Guido Zuccon
Exploring the Representation Power of SPLADE Models. ICTIR (2023)
Guido Zuccon, Harrisen Scells, Shengyao Zhuang
Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. CoRR (2023)
Guido Zuccon, Harrisen Scells, Shengyao Zhuang
Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. ICTIR (2023)
Joel Mackenzie, Shengyao Zhuang, Guido Zuccon
Exploring the Representation Power of SPLADE Models. CoRR (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. CoRR (2023)
Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. ACM Trans. Inf. Syst. 41 (3) (2023)
Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. CoRR (2023)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR (2023)
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. CoRR (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. SIGIR-AP (2023)
Shengyao Zhuang, Linjun Shou, Guido Zuccon
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. SIGIR (2023)
Shengyao Zhuang, Guido Zuccon
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. SIGIR (2022)
Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) (2022)
Shengyao Zhuang, Zhihao Qiao, Guido Zuccon
Reinforcement Online Learning to Rank with Unbiased Reward Shaping. CoRR (2022)
Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR (2022)
Shengyao Zhuang, Hang Li, Guido Zuccon
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. CoRR (2022)
Shengyao Zhuang, Hang Li, Guido Zuccon
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. SIGIR (2022)
Shengyao Zhuang, Guido Zuccon
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. SIGIR (2022)
Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents. CoRR (2022)
Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR (2022)
Harrisen Scells, Shengyao Zhuang, Guido Zuccon
Reduce, Reuse, Recycle: Green Information Retrieval Research. SIGIR (2022)
Shengyao Zhuang, Guido Zuccon
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. CoRR (2022)
Shengyao Zhuang, Zhihao Qiao, Guido Zuccon
Reinforcement online learning to rank with unbiased reward shaping. Inf. Retr. J. 25 (4) (2022)
Shengyao Zhuang, Xinyu Mao, Guido Zuccon
Robustness of Neural Rankers to Typos: A Comparative Study. ADCS (2022)
Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. SIGIR (2022)
Shengyao Zhuang, Guido Zuccon
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training. CoRR (2022)
Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon
Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. ADCS (2022)
Shengyao Zhuang, Guido Zuccon
Dealing with Typos for BERT-based Passage Retrieval and Ranking. CoRR (2021)
Shengyao Zhuang, Guido Zuccon
Dealing with Typos for BERT-based Passage Retrieval and Ranking. EMNLP (1) (2021)
Shengyao Zhuang, Guido Zuccon
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. SIGIR (2021)
Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. CoRR (2021)
Shuyi Wang, Shengyao Zhuang, Guido Zuccon
Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. ECIR (2) (2021)
Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR (2021)
Shengyao Zhuang, Hang Li, Guido Zuccon
Deep Query Likelihood Model for Information Retrieval. ECIR (2) (2021)
Shengyao Zhuang, Guido Zuccon
How do Online Learning to Rank Methods Adapt to Changes of Intent? SIGIR (2021)
Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon
Effective and Privacy-preserving Federated Online Learning to Rank. ICTIR (2021)
Shuai Wang, Shengyao Zhuang, Guido Zuccon
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. ICTIR (2021)
Shengyao Zhuang, Guido Zuccon
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion. CoRR (2021)
Shengyao Zhuang, Guido Zuccon
Counterfactual Online Learning to Rank. ECIR (1) (2020)