| 2026 | EACL | AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation. | Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2026 | ECIR | Evalugator[inline-graphic not available: see fulltext] - Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels. | Bevan Koopman, Hang Li, Shuai Wang, Guido Zuccon |
| 2026 | ECIR | [inline-graphic not available: see fulltext] Starbucks: Improved Training for 2D Matryoshka Embeddings. | Shengyao Zhuang, Shuai Wang, Fabio Zheng, Bevan Koopman, Guido Zuccon |
| 2026 | SIGIR | The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper. | Yu Yin, Shuai Wang, Bevan Koopman, Guido Zuccon |
| 2026 | SIGIR | Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval. | Yongjie Zhou, Shuai Wang, Bevan Koopman, Guido Zuccon |
| 2026 | SIGIR | Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. | Shengyao Zhuang, Xueguang Ma, Zheng Yao, Shuai Wang, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2025 | ACL | VISA: Retrieval Augmented Generation with Visual Source Attribution. | Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin |
| 2025 | ACL | The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It. | Aaron Nicolson, Shengyao Zhuang, Jason Dowling, Bevan Koopman |
| 2025 | ECIR | Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders. | Ferdinand Schlatt, Maik Frbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen |
| 2025 | ECIR | Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking. | Ferdinand Schlatt, Maik Frbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen |
| 2025 | WWW | ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search. | Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon |
| 2025 | SIGIR | Reassessing Large Language Model Boolean Query Generation for Systematic Reviews. | Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2025 | SIGIR | 2D Matryoshka Training for Information Retrieval. | Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon |
| 2025 | SIGIR | RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. | Jonathan J. Ross, Ekaterina Khramtsova, Anton van der Vegt, Bevan Koopman, Guido Zuccon |
| 2025 | SIGIR | Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. | Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2024 | ECIR | A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. | Xinyu Mao, Bevan Koopman, Guido Zuccon |
| 2024 | ECIR | Zero-Shot Generative Large Language Models for Systematic Review Screening Automation. | Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon |
| 2024 | EMNLP | PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. | Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2024 | SIGIR | Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. | Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon |
| 2024 | SIGIR | A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models. | Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon |
| 2023 | EMNLP | Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness. | Bevan Koopman, Guido Zuccon |
| 2023 | EMNLP | Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. | Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon |
| 2023 | SIGIR | Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? | Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2023 | WSDM | AgAsk: A Conversational Search Agent for Answering Agricultural Questions. | Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon |
| 2022 | ADCS | Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search. | Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2022 | ICTIR | The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. | Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman, Guido Zuccon |
| 2022 | SIGIR | How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. | Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon |
| 2022 | SIGIR | From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. | Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon |
| 2021 | ADCS | Cohort-based Clinical Trial Retrieval. | Bevan Koopman, Guido Zuccon |
| 2021 | AMIA | Semantic Search for Large Scale Clinical Ontologies. | Duy-Hoa Ngo, Madonna Kemp, Donna L. Truran, Bevan Koopman, Alejandro Metke-Jimenez |
| 2021 | WWW | Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. | Sebastian Cross, Ahmed Mourad, Guido Zuccon, Bevan Koopman |
| 2021 | SIGIR | Precision Medicine Search for Paediatric Oncology. | Bevan Koopman, Tracey Wright, Natacha Omer, Veronica McCabe, Guido Zuccon |
| 2020 | ECIR | You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. | Harrisen Scells, Guido Zuccon, Bevan Koopman |
| 2020 | ECIR | A Computational Approach for Objectively Derived Systematic Review Search Strategies. | Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark |
| 2020 | WWW | Automatic Boolean Query Formulation for Systematic Review Literature Search. | Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark |
| 2020 | WWW | Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. | Harrisen Scells, Guido Zuccon, Mohamed A. Sharaf, Bevan Koopman |
| 2019 | AMIA | Health Cards to Assist Decision Making in Consumer Health Search. | Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini |
| 2019 | AMIA | Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature. | Anton H. van der Vegt, Guido Zuccon, Bevan Koopman |
| 2019 | CIKM | Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods. | Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini |
| 2019 | WWW | Automatic Boolean Query Refinement for Systematic Review Literature Search. | Harrisen Scells, Guido Zuccon, Bevan Koopman |
| 2019 | SIGIR | Health Cards for Consumer Health Search. | Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini |
| 2019 | WSDM | WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians. | Bevan Koopman, Guido Zuccon |
| 2018 | ADCS | Extracting Cancer Mortality Statistics from Free-text Death Certificates: A View from the Trenches. | Bevan Koopman, Anthony N. Nguyen, Danica Cossio, Mary-Jane Courage, Gary Francois |
| 2018 | AMIA | Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. | Anthony N. Nguyen, Donna L. Truran, Madonna Kemp, Bevan Koopman, David Conlan, John O'Dwyer, Ming Zhang, Sarvnaz Karimi, Hamed Hassanzadeh, Michael Lawley, Damian J. Green |
| 2018 | ECIR | Choices in Knowledge-Base Retrieval for Consumer Health Search. | Jimmy, Guido Zuccon, Bevan Koopman |
| 2018 | SIGIR | Query Variation Performance Prediction for Systematic Reviews. | Harrisen Scells, Leif Azzopardi, Guido Zuccon, Bevan Koopman |
| 2018 | SIGIR | SIGIR 2018 Tutorial on Health Search (HS2018): A Full-day from Consumers to Clinicians. | Guido Zuccon, Bevan Koopman |
| 2017 | CIKM | Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews. | Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, Shlomo Geva |
| 2017 | SIGIR | Generating Clinical Queries from Patient Narratives: A Comparison between Machines and Humans. | Bevan Koopman, Liam Cripwell, Guido Zuccon |
| 2017 | SIGIR | A Task-oriented Search Engine for Evidence-based Medicine. | Bevan Koopman, Guido Zuccon, Jack Russell |
| 2017 | SIGIR | A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews. | Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, Shlomo Geva |
| 2017 | SIGIR | SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians. | Guido Zuccon, Bevan Koopman |
| 2016 | ADCS | Boosting Titles does not Generally Improve Retrieval Effectiveness. | Jimmy, Guido Zuccon, Bevan Koopman |
| 2016 | ICTIR | The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias. | Aldo Lipani, Guido Zuccon, Mihai Lupu, Bevan Koopman, Allan Hanbury |
| 2016 | SIGIR | A Test Collection for Matching Patients to Clinical Trials. | Bevan Koopman, Guido Zuccon |
| 2015 | ADCS | Integrating and Evaluating Neural Word Embeddings in Information Retrieval. | Guido Zuccon, Bevan Koopman, Peter Bruza, Leif Azzopardi |
| 2015 | AMIA | Automated Reconciliation of Radiology Reports and Discharge Summaries. | Bevan Koopman, Guido Zuccon, Amol Wagholikar, Kevin Chu, John O'Dwyer, Anthony N. Nguyen, Gerben Keijzers |
| 2015 | ECIR | Diagnose This If You Can - On the Effectiveness of Search Engines in Finding Medical Self-diagnosis Information. | Guido Zuccon, Bevan Koopman, Joo R. M. Palotti |
| 2014 | ADCS | Document Timespan Normalisation and Understanding Temporality for Clinical Records Search. | Bevan Koopman, Guido Zuccon |
| 2014 | ADCS | Medical Free-Text to Concept Mapping as an Information Retrieval Problem. | Shahin Mirhosseini, Guido Zuccon, Bevan Koopman, Anthony N. Nguyen, Michael Lawley |
| 2014 | CIKM | Medical Semantic Similarity with a Neural Language Model. | Lance De Vine, Guido Zuccon, Bevan Koopman, Laurianne Sitbon, Peter Bruza |
| 2014 | CIKM | Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR. | Guido Zuccon, Bevan Koopman, Peter Bruza |
| 2014 | SIGIR | Understanding negation and family history to improve clinical information retrieval. | Bevan Koopman, Guido Zuccon |
| 2014 | SIGIR | Relevation!: an open source system for information retrieval relevance assessment}. | Bevan Koopman, Guido Zuccon |
| 2014 | SIGIR | Why Assessing Relevance in Medical IR is Demanding. | Bevan Koopman, Guido Zuccon |
| 2014 | SIGIR | Integrating Understandability in the Evaluation of Consumer Health Search Engines. | Guido Zuccon, Bevan Koopman |
| 2013 | ADCS | ADCS reaches adulthood: an analysis of the conference and its community over the last eighteen years. | Bevan Koopman, Guido Zuccon, Lance De Vine, Aneesha Bakharia, Peter Bruza, Laurianne Sitbon, Andrew Gibson |
| 2013 | CIKM | Term associations in query expansion: a structural linguistic perspective. | Michael Symonds, Guido Zuccon, Bevan Koopman, Peter Bruza, Laurianne Sitbon |
| 2012 | ADCS | Graph-based concept weighting for medical information retrieval. | Bevan Koopman, Guido Zuccon, Peter Bruza, Laurianne Sitbon, Michael Lawley |
| 2012 | ADCS | Exploiting medical hierarchies for concept-based information retrieval. | Guido Zuccon, Bevan Koopman, Anthony N. Nguyen, Deanne Vickers, Luke Butt |
| 2012 | CIKM | An evaluation of corpus-driven measures of medical concept similarity for information retrieval. | Bevan Koopman, Guido Zuccon, Peter Bruza, Laurianne Sitbon, Michael Lawley |
| 2011 | SIGIR | Evaluating medical information retrieval. | Bevan Koopman, Peter Bruza, Laurianne Sitbon, Michael Lawley |