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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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2026 Conference Publication Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement LearningZhuang, Shengyao, Ma, Xueguang, Yao, Zheng, Wang, Shuai, Koopman, Bevan, Lin, Jimmy and Zuccon, Guido (2026). Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. New York, NY, USA: ACM. doi: 10.1145/3805712.3809961 |
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2026 Conference Publication Inferential Question AnsweringMozafari, Jamshid, Zamani, Hamed, Zuccon, Guido and Jatowt, Adam (2026). Inferential Question Answering. Association for Computing Machinery, Inc. doi: 10.1145/3774904.3792653 |
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2026 Book Chapter A simple sketch of a disposable coffee cup with a lid. The cup features a green circle in the center, possibly representing a logo or design element. The drawing is outlined in black with minimal detail. Starbucks: Improved Training for 2D Matryoshka EmbeddingsZhuang, Shengyao, Wang, Shuai, Zheng, Fabio, Koopman, Bevan and Zuccon, Guido (2026). A simple sketch of a disposable coffee cup with a lid. The cup features a green circle in the center, possibly representing a logo or design element. The drawing is outlined in black with minimal detail. Starbucks: Improved Training for 2D Matryoshka Embeddings. Lecture Notes in Computer Science. (pp. 67-82) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21289-4_5 |
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2026 Conference Publication AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query GenerationWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2026). AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation. Stroudsburg, PA, USA: Association for Computational Linguistics. doi: 10.18653/v1/2026.eacl-long.68 |
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2026 Conference Publication Leveraging gradient information for out-of-domain performance estimationsKhramtsova, Ekaterina, Baktashmotlagh, Mahsa, Zuccon, Guido, Wang, Xi and Salzmann, Mathieu (2026). Leveraging gradient information for out-of-domain performance estimations. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025), Porto, Portugal, 15-19 September 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-06106-5_18 |
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2026 Conference Publication Evalugator — Rapid, agile development and evaluation of Retrieval Augmented Generation systems without labelsKoopman, Bevan, Li, Hang, Wang, Shuai and Zuccon, Guido (2026). Evalugator — Rapid, agile development and evaluation of Retrieval Augmented Generation systems without labels. 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, Mar 29 - Apr 02, 2026. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-21321-1_8 |
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2025 Conference Publication Beyond GeneGPT: a multi-agent architecture with open-source LLMs for enhanced genomic question answeringChen, Haodong, Zuccon, Guido and Leelanupab, Teerapong (2025). Beyond GeneGPT: a multi-agent architecture with open-source LLMs for enhanced genomic question answering. 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Xi'an, China, 7-10 December 2025. New York, NY, United States: ACM. doi: 10.1145/3767695.3769488 |
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2025 Conference Publication SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R <sup>2</sup> LLMs)Zuccon, Guido, Zhuang, Shengyao, Ma, Xueguang and Koopman, Bevan (2025). SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R 2 LLMs). New York, NY, USA: ACM. doi: 10.1145/3767695.3769522 |
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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 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 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 |
