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2019 Journal Article Consumer health search on the web: study of web page understandability and its integration in ranking algorithmsPalotti, Joao, Zuccon, Guido and Hanbury, Allan (2019). Consumer health search on the web: study of web page understandability and its integration in ranking algorithms. Journal of Medical Internet Research, 21 (1) e10986, e10986. doi: 10.2196/10986 |
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2018 Journal Article Payoffs and pitfalls in using knowledge-bases for consumer health searchJimmy, Zuccon, Guido and Koopman, Bevan (2018). Payoffs and pitfalls in using knowledge-bases for consumer health search. Information Retrieval Journal, 22 (3-4), 350-394. doi: 10.1007/s10791-018-9344-z |
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2018 Journal Article Recursive module extraction using louvain and pagerankPerrin, Dimitri and Zuccon, Guido (2018). Recursive module extraction using louvain and pagerank. F1000Research, 7 (1286) 1286, 1-11. doi: 10.12688/f1000research.15845.1 |
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2025 Book Chapter Leveraging Gradient Information for Out-of-Domain Performance EstimationsKhramtsova, Ekaterina, Baktashmotlagh, Mahsa, Zuccon, Guido, Wang, Xi and Salzmann, Mathieu (2025). Leveraging Gradient Information for Out-of-Domain Performance Estimations. Lecture Notes in Computer Science. (pp. 306-321) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-06106-5_18 |
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2025 Conference Publication Preaching to the ChoIR: lessons IR should share with AIDemartini, Gianluca, Hauff, Claudia, Lease, Matthew, Mizzaro, Stefano, Roitero, Kevin, Sanderson, Mark, Scholer, Falk, Shah, Chirag, Spina, Damiano, Thomas, Paul, de Vries, Arjen P. and Zuccon, Guido (2025). Preaching to the ChoIR: lessons IR should share with AI. ICTIR '25: International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, Padua, Italy, 18 July 2025. New York, NY USA: ACM. doi: 10.1145/3731120.3744612 |
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2025 Conference Publication 2D Matryoshka Training for Information RetrievalWang, Shuai, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2025). 2D Matryoshka Training for Information Retrieval. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730330 |
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2025 Conference Publication R 2 LLMs: retrieval and ranking with LLMsZuccon, Guido, Zhuang, Shengyao and Ma, Xueguang (2025). R 2 LLMs: retrieval and ranking with LLMs. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3731689 |
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2025 Conference Publication RARR Unraveled: Component-Level Insights into Hallucination Detection and MitigationRoss, Jonathan J., Khramtsova, Ekaterina, van der Vegt, Anton, Koopman, Bevan and Zuccon, Guido (2025). RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730337 |
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2025 Conference Publication Reassessing Large Language Model Boolean query generation for systematic reviewsWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2025). Reassessing Large Language Model Boolean query generation for systematic reviews. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730329 |
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2025 Conference Publication Unlearning for Federated Online Learning to Rank: a reproducibility studyTao, Yiling, Wang, Shuyi, Yang, Jiaxi and Zuccon, Guido (2025). Unlearning for Federated Online Learning to Rank: a reproducibility study. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730336 |
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2025 Conference Publication ReviewHQ: An API-based system for reviewer assignment and quality control in research conferencesZuccon, Guido (2025). ReviewHQ: An API-based system for reviewer assignment and quality control in research conferences. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730139 |
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2025 Conference Publication Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionYao, Zheng, Wang, Shuai and Zuccon, Guido (2025). Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730332 |
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2025 Conference Publication AiReview: An open platform for accelerating systematic reviews with LLMsMao, Xinyu, Leelanupab, Teerapong, Potthast, Martin, Scells, Harrisen and Zuccon, Guido (2025). AiReview: An open platform for accelerating systematic reviews with LLMs. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730133 |
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2025 Conference Publication Document screenshot retrievers are vulnerable to pixel poisoning attacksZhuang, Shengyao, Khramtsova, Ekaterina, Ma, Xueguang, Koopman, Bevan, Lin, Jimmy and Zuccon, Guido (2025). Document screenshot retrievers are vulnerable to pixel poisoning attacks. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730056 |
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2025 Journal Article The epidemiology of hospitalisations from four key environmentally sensitive zoonotic diseases in Queensland, 2012–2019Proboste, Tatiana, Lau, Colleen L., Clark, Nicholas, Jagals, Paul, Sly, Peter D., Lambert, Stephen B., Devine, Gregor, Zuccon, Guido and Soares Magalhães, Ricardo J. (2025). The epidemiology of hospitalisations from four key environmentally sensitive zoonotic diseases in Queensland, 2012–2019. Tropical Medicine and International Health, 30 (8), 838-847. doi: 10.1111/tmi.14139 |
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2025 Other Outputs Pseudo relevance feedback is enough to close the gap between small and large dense retrieval modelsLi, Hang, Wang, Xiao, Koopman, Bevan and Zuccon, Guido (2025). Pseudo relevance feedback is enough to close the gap between small and large dense retrieval models. doi: 10.48550/arXiv.2503.14887 |
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2025 Journal Article Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)Trippas, Johanne R., Culpepper, J. Shane, Aliannejadi, Mohammad, Allan, James, Amigó, Enrique, Arguello, Jaime, Azzopardi, Leif, Bailey, Peter, Callan, Jamie, Capra, Rob, Craswell, Nick, Croft, Bruce, Dalton, Jeff, Demartini, Gianluca, Dietz, Laura, Dou, Zhicheng, Eickhoff, Carsten, Ekstrand, Michael, Ferro, Nicola, Fuhr, Norbert, Glowacka, Dorota, Hasibi, Faegheh, Hettiachchi, Danula, Jones, Rosie, Kamps, Jaap, Kando, Noriko, Karimi, Sarvnaz, Kato, Makoto P., Koopman, Bevan ... Zuccon, Guido (2025). Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). ACM SIGIR Forum, 59 (1), 1-68. doi: 10.1145/3769733.3769739 |
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2025 Conference Publication ReSLLM: large language models are strong resource selectors for federated searchWang, Shuai, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2025). ReSLLM: large language models are strong resource selectors for federated search. The ACM Web Conference 2025, Sydney, NSW Australia, 28 April-2 May 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3701716.3715595 |
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2025 Conference Publication An investigation of prompt variations for zero-shot LLM-based rankersSun, Shuoqi, Zhuang, Shengyao, Wang, Shuai and Zuccon, Guido (2025). An investigation of prompt variations for zero-shot LLM-based rankers. 47th European Conference on Information Retrieval, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-88711-6_12 |
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2025 Conference Publication Corpus subsampling: estimating the effectiveness of neural retrieval models on large corporaFröbe, Maik, Parry, Andrew, Scells, Harrisen, Wang, Shuai, Zhuang, Shengyao, Zuccon, Guido, Potthast, Martin and Hagen, Matthias (2025). Corpus subsampling: estimating the effectiveness of neural retrieval models on large corpora. 47th European Conference on Information Retrieval, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-88708-6_29 |
