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2025 Conference Publication Automated Chest X-ray Report Generation Remains UnsolvedZhang, Xiaoman, Acosta, Julian Nicolas, Yang, Xiaoli, Adithan, Subathra, Luo, Luyang, Zhou, Hong-Yu, Miller, Joshua, Huang, Ouwen, Zhou, Zongwei, Hamamci, Ibrahim Ethem, Bannur, Shruthi, Bouzid, Kenza, Zhang, Xi, Meng, Zaiqiao, Nicolson, Aaron, Koopman, Bevan, Baek, Inhyeok, Ko, Hanbin, Ranjit, Mercy Prasanna, Srivastav, Shaury, Sambanthan, Sriram Gnana and Rajpurkar, Pranav (2025). Automated Chest X-ray Report Generation Remains Unsolved. WORLD SCIENTIFIC. doi: 10.1142/9789819824755_0017 |
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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 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 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 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 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 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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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 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 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 |
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2024 Journal Article Longitudinal data and a semantic similarity reward for chest X-ray report generationNicolson, Aaron, Dowling, Jason, Anderson, Doug and Koopman, Bevan (2024). Longitudinal data and a semantic similarity reward for chest X-ray report generation. Informatics in Medicine Unlocked, 50 101585, 1-15. doi: 10.1016/j.imu.2024.101585 |
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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: ACM. doi: 10.1145/3626772.3657921 |
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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 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 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 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 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 |
