Overview
Availability
- Associate Professor Bevan Koopman is:
- Available for supervision
Qualifications
- Doctor of Philosophy, Queensland University of Technology
Works
Search Professor Bevan Koopman’s works on UQ eSpace
2024
Conference Publication
Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-points
Sabei, 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
2024
Other Outputs
TPRF: A transformer-based pseudo-relevance feedback model for efficient and effective retrieval
Li, 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
2024
Conference Publication
PromptReps: prompting large language models to generate dense and sparse representations for zero-shot document retrieval
Zhuang, 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
2024
Journal Article
Longitudinal data and a semantic similarity reward for chest X-ray report generation
Nicolson, 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
2024
Conference Publication
Dense retrieval with continuous explicit feedback for systematic review screening prioritisation
Mao, 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
2024
Conference Publication
A setwise approach for effective and highly efficient zero-shot ranking with large language models
Zhuang, Shengyao, Zhuang, Honglei, Koopman, Bevan and Zuccon, Guido (2024). A setwise approach for effective and highly efficient zero-shot ranking with large language models. SIGIR ’24, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657813
2024
Journal Article
AgAsk: an agent to help answer farmer’s questions from scientific documents
Koopman, 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
2024
Conference Publication
A reproducibility study of goldilocks: just-right tuning of BERT for TAR
Mao, 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
2023
Conference Publication
Generating natural language queries for more effective systematic review screening prioritisation
Wang, 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
2023
Conference Publication
ChatGPT hallucinates when attributing answers
Zuccon, 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
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
2023
Journal Article
Pseudo relevance feedback with deep language models and dense retrievers: successes and pitfalls
Li, 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
2023
Conference Publication
Open-source large language models are strong zero-shot query likelihood models for document ranking
Zhuang, 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
2023
Conference Publication
Dr ChatGPT tell me what I want to hear: how different prompts impact health answer correctness
Koopman, 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
2022
Conference Publication
ImageCLEF 2021 Best of Labs: The curious case of caption generation for medical images
Nicolson, 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
2022
Other Outputs
Agvaluate
Li, Hang, Zuccon, Guido, Koopman, Bevan and Mourad, Ahmed (2022). Agvaluate. The University of Queensland. (Dataset) doi: 10.48610/0160dc7
2021
Conference Publication
Precision medicine search for paediatric oncology
Koopman, 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
2020
Journal Article
How searching under time pressure impacts clinical decision making
Van 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
2020
Conference Publication
A computational approach for objectively derived systematic review search strategies
Scells, 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
2020
Conference Publication
You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews
Scells, 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
Supervision
Availability
- Associate Professor Bevan Koopman is:
- Available for supervision
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