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2024 Conference Publication Large language models based stemming for information retrieval: promises, pitfalls and failuresWang, Shuai, Zhuang, Shengyao and Zuccon, Guido (2024). Large language models based stemming for information retrieval: promises, pitfalls and failures. 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: ACM. doi: 10.1145/3626772.3657949 |
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2024 Conference Publication FeB4RAG: evaluating federated search in the context of retrieval augmented generationWang, Shuai, Khramtsova, Ekaterina, Zhuang, Shengyao and Zuccon, Guido (2024). FeB4RAG: evaluating federated search in the context of retrieval augmented generation. 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: ACM. doi: 10.1145/3626772.3657853 |
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2024 Conference Publication Evaluating generative ad hoc information retrievalGienapp, Lukas, Scells, Harrisen, Deckers, Niklas, Bevendorff, Janek, Wang, Shuai, Kiesel, Johannes, Syed, Shahbaz, Fröbe, Maik, Zuccon, Guido, Stein, Benno, Hagen, Matthias and Potthast, Martin (2024). Evaluating generative ad hoc information retrieval. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieva, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657849 |
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2024 Journal Article Report on the Collab-a-Thon at ECIR 2024MacAvaney, Sean, Roegiest, Adam, Lipani, Aldo, Parry, Andrew, Engelmann, Björn Engelmann, Kreutz, Christin Katharina, Meng, Chuan, Frayling, Erlend, Yang, Eugene, Schlatt, Ferdinand, Faggioli, Guglielmo, Scells, Harrisen, Atanassova, Iana, Friese, Jana, Bevendorff, Janek, Sanz-Cruzado, Javier, Trippas, Johanne, Pathak, Kanaad, Dhole, Kaustubh, Azzopardi, Leif, Fröbe, Maik, Bertin, Marc, Prasad, Nishchal, Zerhoudi, Saber, Wang, Shuai, Chatterjee, Shubham, Jaenich, Thomas, Kruschwitz, Udo, Wang, Xi and Long, Zijun (2024). Report on the Collab-a-Thon at ECIR 2024. ACM SIGIR Forum, 58 (1), 1-11. doi: 10.1145/3687273.3687287 |
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2024 Conference Publication Zero-shot generative large language models for systematic review screening automationWang, Shuai, Scells, Harrisen, Zhuang, Shengyao, Potthast, Martin, Koopman, Bevan and Zuccon, Guido (2024). Zero-shot generative large language models for systematic review screening automation. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24-28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56027-9_25 |
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2024 Conference Publication BERGEN: a benchmarking library for retrieval-augmented generationRau, David, Déjean, Hervé, Chirkova, Nadezhda, Formal, Thibault, Wang, Shuai, Clinchant, Stéphane and Nikoulina, Vassilina (2024). BERGEN: a benchmarking library for retrieval-augmented generation. 2024 Conference on Empirical Methods in Natural Language Processing, Miami, FL, United States, 12 - 16 November 2024. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2024.findings-emnlp.449 |
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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 Conference Publication Balanced topic aware sampling for effective dense retriever: a reproducibility studyWang, Shuai and Zuccon, Guido (2023). Balanced topic aware sampling for effective dense retriever: a reproducibility study. 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: 10.1145/3539618.3591915 |
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2023 Conference Publication MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query constructionWang, Shuai, Li, Hang and Zuccon, Guido (2023). MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3573025 |
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2022 Conference Publication Neural rankers for effective screening prioritisation in medical systematic review literature searchWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Neural rankers for effective screening prioritisation in medical systematic review literature search. 26th Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3572960.3572980 |
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2022 Journal Article Automated MeSH term suggestion for effective query formulation in systematic reviews literature searchWang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Automated MeSH term suggestion for effective query formulation in systematic reviews literature search. Intelligent Systems with Applications, 16 200141, 1-14. doi: 10.1016/j.iswa.2022.200141 |
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2022 Conference Publication From little things big things grow: a collection with seed studies for medical systematic review literature searchWang, Shuai, Scells, Harrisen, Clark, Justin, Koopman, Bevan and Zuccon, Guido (2022). From little things big things grow: a collection with seed studies for medical systematic review literature search. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531748 |
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2022 Conference Publication To Interpolate or not to Interpolate: PRF, dense and sparse retrieversLi, Hang, Wang, Shuai, Zhuang, Shengyao, Mourad, Ahmed, Ma, Xueguang, Lin, Jimmy and Zuccon, Guido (2022). To Interpolate or not to Interpolate: PRF, dense and sparse retrievers. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531884 |
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2022 Conference Publication Seed-driven document ranking for systematic reviews: a reproducibility studyWang, Shuai, Scells, Harrisen, Mourad, Ahmed and Zuccon, Guido (2022). Seed-driven document ranking for systematic reviews: a reproducibility study. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, 10–14 April 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-99736-6_46 |
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2021 Conference Publication MeSH Term Suggestion for Systematic Review Literature SearchWang, Shuai, Li, Hang, Scells, Harrisen, Locke, Daniel and Zuccon, Guido (2021). MeSH Term Suggestion for Systematic Review Literature Search. Australasian Document Computing Symposium, Melbourne, VIC, Australia, 9 December 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3503516.3503530 |
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2021 Conference Publication BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage RetrievalWang, Shuai, Zhuang, Shengyao and Zuccon, Guido (2021). BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. The ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), Canada, 11 July 2021. New York, NY, USA: Association for Computing Machinery, Inc. doi: 10.1145/3471158.3472233 |
