Guido Zuccon

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 223

Top Venues

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

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)
Shuyi Wang, Bing Liu, Guido Zuccon
How to Forget Clients in Federated Online Learning to Rank? ECIR (3) (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)
Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast
Evaluating Generative Ad Hoc Information Retrieval. SIGIR (2024)
Xinyu Mao, Bevan Koopman, Guido Zuccon
A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. 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)
Linh Le, Minh-Tien Nguyen, Khai Phan Tran, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini
Stochastic Featurization for Active Learning. TAI4H (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)
Chuting Yu, Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval. CoRR (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)
Shuyi Wang, Bing Liu, Guido Zuccon
How to Forget Clients in Federated Online Learning to Rank? 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)
Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini
CoLAL: Co-learning Active Learning for Text Classification. AAAI (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)
Xinyu Mao, Bevan Koopman, Guido Zuccon
A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. ECIR (4) (2024)
Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury
Outcome-based Evaluation of Systematic Review Automation. ICTIR (2023)
Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury
Outcome-based Evaluation of Systematic Review Automation. CoRR (2023)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Convolutional Persistence as a Remedy to Neural Model Analysis. AISTATS (2023)
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)
Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? CoRR (2023)
Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast, Guido Zuccon
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. SIGIR-AP (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)
Rischan Mafrur, Mohamed A. Sharaf, Guido Zuccon
VizPut: Insight-Aware Imputation of Incomplete Data for Visualization Recommendation. CoRR (2023)
Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon
AgAsk: A Conversational Search Agent for Answering Agricultural Questions. WSDM (2023)
Xue Li, Catherine Zou, Robert Boots, Sen Wang, Weitong Chen, Guido Zuccon
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities. World Sci. Annu. Rev. Artif. Intell. 1 (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)
Linh Le, Gianluca Demartini, Guido Zuccon, Genghong Zhao, Xia Zhang
Active learning with feature matching for clinical named entity recognition. Nat. Lang. Process. J. 4 (2023)
Sebastian Cross, Guido Zuccon, Ahmed Mourad
A Reproducibility Study of Question Retrieval for Clarifying Questions. ECIR (3) (2023)
Shuyi Wang, Guido Zuccon
An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. ICTIR (2023)
Guido Zuccon, Bevan Koopman
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness. CoRR (2023)
Joel Mackenzie, Shengyao Zhuang, Guido Zuccon
Exploring the Representation Power of SPLADE Models. CoRR (2023)
Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon
Dependency-aware Self-training for Entity Alignment. WSDM (2023)
Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? SIGIR (2023)
Shuai Wang, Hang Li, Guido Zuccon
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. WSDM (2023)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon
Selecting which Dense Retriever to use for Zero-Shot Search. CoRR (2023)
Mohamed A. Sharaf, Rischan Mafrur, Guido Zuccon
Efficient Diversification for Recommending Aggregate Data Visualizations. IEEE Access 11 (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)
Shuai Wang, Harrisen Scells, Martin Potthast, Bevan Koopman, Guido Zuccon
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. CoRR (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)
Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast
Evaluating Generative Ad Hoc Information Retrieval. CoRR (2023)
Guido Zuccon, Bevan Koopman, Razia Shaik
ChatGPT Hallucinates when Attributing Answers. CoRR (2023)
Guido Zuccon, Bevan Koopman, Razia Shaik
ChatGPT Hallucinates when Attributing Answers. SIGIR-AP (2023)
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. CoRR (2023)
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. SIGIR-AP (2023)
Shuyi Wang, Guido Zuccon
An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. CoRR (2023)
Shuai Wang, Guido Zuccon
Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. SIGIR (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)
Bevan Koopman, Guido Zuccon
Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness. EMNLP (2023)
Shengyao Zhuang, Guido Zuccon
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. SIGIR (2022)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Rethinking Persistent Homology For Visual Recognition. TAG-ML (2022)
Sitthichoke Subpaiboonkit, Xue Li, Xin Zhao, Guido Zuccon
Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction. ADMA (1) (2022)
Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search. CoRR (2022)
Shuyi Wang, Guido Zuccon
Is Non-IID Data a Threat in Federated Online Learning to Rank? CoRR (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)
Gineke Wiggers, Guido Zuccon
The Task: Distinguishing Tasks and Sessions in Legal Information Retrieval. ADCS (2022)
Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh
Rethinking Persistent Homology for Visual Recognition. CoRR (2022)
Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
Automated MeSH term suggestion for effective query formulation in systematic reviews literature search. Intell. Syst. Appl. 16 (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)
Guido Zuccon
Pretrained Language Models Rankers on Private Data: Is Online and Federated Learning the Solution? (short paper). DESIRES (2022)
Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon
Seed-Driven Document Ranking for Systematic Reviews: A Reproducibility Study. ECIR (1) (2022)
Shengyao Zhuang, Hang Li, Guido Zuccon
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. CoRR (2022)
Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang
High-quality Task Division for Large-scale Entity Alignment. CoRR (2022)
Linh Le, Guido Zuccon, Genghong Zhao, Gianluca Demartini, Xia Zhang
Leveraging Semantic Type Dependencies for Medical Named Entity Recognition. AMIA (2022)
Shengyao Zhuang, Hang Li, Guido Zuccon
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. SIGIR (2022)
Shuai Wang, Hang Li, Guido Zuccon
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. CoRR (2022)
Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon
Dependency-aware Self-training for Entity Alignment. CoRR (2022)
Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval? CoRR (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)
Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search. CoRR (2022)
Harrisen Scells, Shengyao Zhuang, Guido Zuccon
Reduce, Reuse, Recycle: Green Information Retrieval Research. SIGIR (2022)
Ismail Sabei, Ahmed Mourad, Guido Zuccon
SCC - A Test Collection for Search in Chat Conversations. CIKM (2022)
Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. CoRR (2022)
Daniel Locke, Guido Zuccon
Case law retrieval: problems, methods, challenges and evaluations in the last 20 years. CoRR (2022)
Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman, Guido Zuccon
The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. ICTIR (2022)
Shengyao Zhuang, Guido Zuccon
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. CoRR (2022)
Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang
Guiding Neural Entity Alignment with Compatibility. CoRR (2022)
Shengyao Zhuang, Zhihao Qiao, Guido Zuccon
Reinforcement online learning to rank with unbiased reward shaping. Inf. Retr. J. 25 (4) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guido Zuccon