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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 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 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 United States: 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 DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense RetrievalMao, Xinyu, Leelanupab, Teerapong, Scells, Harrisen and Zuccon, Guido (2025). DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense Retrieval. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88720-8_11 |
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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 |
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2025 Conference Publication Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-EncodersSchlatt, Ferdinand, Fröbe, Maik, Scells, Harrisen, Zhuang, Shengyao, Koopman, Bevan, Zuccon, Guido, Stein, Benno, Potthast, Martin and Hagen, Matthias (2025). Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88711-6_1 |
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2025 Other Outputs LLM-VPRF: Large language model based vector pseudo relevance feedbackLi, Hang, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2025). LLM-VPRF: Large language model based vector pseudo relevance feedback. doi: 10.48550/arXiv.2504.01448 |
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2025 Conference Publication Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-rankingSchlatt, Ferdinand, Fröbe, Maik, Scells, Harrisen, Zhuang, Shengyao, Koopman, Bevan, Zuccon, Guido, Stein, Benno, Potthast, Martin and Hagen, Matthias (2025). Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88714-7_31 |
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2025 Conference Publication VISA: Retrieval Augmented Generation with Visual Source AttributionMa, Xueguang, Zhuang, Shengyao, Koopman, Bevan, Zuccon, Guido, Chen, Wenhu and Lin, Jimmy (2025). VISA: Retrieval Augmented Generation with Visual Source Attribution. 63rd Association for Computational Linguistics Meeting-ACL-Annual, Vienn, Austria, 27 July - 1 August 2025. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2025.acl-long.1456 |
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2024 Conference Publication Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval SystemsZhuang, Shengyao, Koopman, Bevan, Chu, Xiaoran and Zuccon, Guido (2024). Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems. 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Tokyo, Japan, 9-12 December 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3673791.3698414 |
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2024 Conference Publication Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-pointsSabei, Ismail, Galal, Mahmoud, Koopman, Bevan and Zuccon, Guido (2024). Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-points. 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Tokyo, Japan, 9-12 December 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3673791.3698417 |
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2024 Other Outputs TPRF: A transformer-based pseudo-relevance feedback model for efficient and effective retrievalLi, Hang, Yu, Chuting, Mourad, Ahmed, Koopman, Bevan and Zuccon, Guido (2024). TPRF: A transformer-based pseudo-relevance feedback model for efficient and effective retrieval. doi: 10.48550/arXiv.2401.13509 |
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2024 Conference Publication PromptReps: prompting large language models to generate dense and sparse representations for zero-shot document retrievalZhuang, Shengyao, Ma, Xueguang, Koopman, Bevan, Lin, Jimmy and Zuccon, Guido (2024). PromptReps: prompting large language models to generate dense and sparse representations for zero-shot document retrieval. 29th Conference on Empirical Methods in Natural Language Processing, Miami, FL USA, 12-16 November 2024. Stroudsberg, PA USA: Association for Computational Linguistics. doi: 10.18653/v1/2024.emnlp-main.250 |
