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2024 Conference Publication Dense retrieval with continuous explicit feedback for systematic review screening prioritisationMao, Xinyu, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2024). Dense retrieval with continuous explicit feedback for systematic review screening prioritisation. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC United States, 14-18 July 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3626772.3657921 |
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2024 Conference Publication A reproducibility study of goldilocks: just-right tuning of BERT for TARMao, Xinyu, Koopman, Bevan and Zuccon, Guido (2024). A reproducibility study of goldilocks: just-right tuning of BERT for TAR. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24-28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56066-8_13 |
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2024 Journal Article AgAsk: an agent to help answer farmer’s questions from scientific documentsKoopman, Bevan, Mourad, Ahmed, Li, Hang, van der Vegt, Anton, Zhuang, Shengyao, Gibson, Simon, Dang, Yash, Lawrence, David and Zuccon, Guido (2024). AgAsk: an agent to help answer farmer’s questions from scientific documents. International Journal on Digital Libraries, 25 (4), 569-584. doi: 10.1007/s00799-023-00369-y |
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2023 Conference Publication ChatGPT hallucinates when attributing answersZuccon, Guido, Koopman, Bevan and Shaik, Razia (2023). ChatGPT hallucinates when attributing answers. SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Beijing, China, 26 - 28 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3624918.3625329 |
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2023 Conference Publication Generating natural language queries for more effective systematic review screening prioritisationWang, Shuai, Scells, Harrisen, Koopman, Bevan, Potthast, Martin and Zuccon, Guido (2023). Generating natural language queries for more effective systematic review screening prioritisation. SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Beijing, China, 26 - 28 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3624918.3625322 |
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2023 Conference Publication Can ChatGPT write a good Boolean query for systematic review literature search?Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2023). Can ChatGPT write a good Boolean query for systematic review literature search?. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591703 |
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2023 Journal Article Pseudo relevance feedback with deep language models and dense retrievers: successes and pitfallsLi, Hang, Mourad, Ahmed, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2023). Pseudo relevance feedback with deep language models and dense retrievers: successes and pitfalls. ACM Transactions on Information Systems, 41 (3) 62, 1-40. doi: 10.1145/3570724 |
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2023 Conference Publication Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctnessKoopman, Bevan and Zuccon, Guido (2023). Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctness. EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6-10 December 2023. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2023.emnlp-main.928 |
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2023 Conference Publication Open-source large language models are strong zero-shot query likelihood models for document rankingZhuang, Shengyao, Liu, Bing, Koopman, Bevan and Zuccon, Guido (2023). Open-source large language models are strong zero-shot query likelihood models for document ranking. Conference on Empirical Methods in Natural Language Processing, Singapore, 6-10 December 2023. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2023.findings-emnlp.590 |
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2022 Conference Publication ImageCLEF 2021 Best of Labs: The curious case of caption generation for medical imagesNicolson, Aaron, Dowling, Jason and Koopman, Bevan (2022). ImageCLEF 2021 Best of Labs: The curious case of caption generation for medical images. 13th International Conference of the CLEF Association, Bologna, Italy, 5-8 September 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-13643-6_15 |
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2022 Other Outputs AgvaluateLi, Hang, Zuccon, Guido, Koopman, Bevan and Mourad, Ahmed (2022). Agvaluate. The University of Queensland. (Dataset) doi: 10.48610/0160dc7 |
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2021 Conference Publication Precision medicine search for paediatric oncologyKoopman, Bevan, Wright, Tracey, Omer, Natacha, McCabe, Veronica and Zuccon, Guido (2021). Precision medicine search for paediatric oncology. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11 - 15 July, 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3404835.3462792 |
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2020 Journal Article How searching under time pressure impacts clinical decision makingVan der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2020). How searching under time pressure impacts clinical decision making. Journal of the Medical Library Association, 108 (4), 564-573. doi: 10.5195/jmla.2020.915 |
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2020 Conference Publication A computational approach for objectively derived systematic review search strategiesScells, Harrisen, Zuccon, Guido, Koopman, Bevan and Clark, Justin (2020). A computational approach for objectively derived systematic review search strategies. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_26 |
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2020 Conference Publication You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviewsScells, Harrisen, Zuccon, Guido and Koopman, Bevan (2020). You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020 . Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_27 |
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2018 Journal Article The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocolvan der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2018). The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol. JMIR Research Protocols, 8 (5) e12803, e12803-213. doi: 10.2196/12803 |
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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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2016 Conference Publication The impact of fixed-cost pooling strategies on test collection biasLipani, Aldo, Zuccon, Guido, Lupu, Mihai, Koopman, Bevan and Hanbury, Allan (2016). The impact of fixed-cost pooling strategies on test collection bias. 2016 ACM International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark; United States, 12-16 September 2016. New York, NY, United States: ACM Press. doi: 10.1145/2970398.2970429 |
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2013 Conference Publication Term associations in query expansion: a structural linguistic perspectiveSymonds, Michael, Zuccon, Guido, Koopman, Bevan, Bruza, Peter and Sitbon, Laurianne (2013). Term associations in query expansion: a structural linguistic perspective. 22nd ACM international conference on Information & Knowledge Management, San Francisco, CA, United States, 27 October - 01 November 2013. New York, NY, United States: ACM Press. doi: 10.1145/2505515.2507852 |
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2012 Conference Publication An evaluation of corpus-driven measures of medical concept similarity for information retrievalKoopman, Bevan, Zuccon, Guido, Bruza, Peter, Sitbon, Laurianne and Lawley, Michael (2012). An evaluation of corpus-driven measures of medical concept similarity for information retrieval. 21st ACM international conference on Information and knowledge management, Maui, HI, United States, 29 October - 02 November 2012. New York, NY, United States: ACM Press. doi: 10.1145/2396761.2398661 |
