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
2026
Conference Publication
Automated chest X-ray report generation remains unsolved
Zhang, 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 (2026). Automated chest X-ray report generation remains unsolved. 31st Pacific Symposium on Biocomputing 2026, Kohala Coast, Hawaii, USA, 3-7 January 2026. Singapore: World Scientific. doi: 10.1142/9789819824755_0017
2026
Conference Publication
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
Wang, 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
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 Embeddings
Zhuang, 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
2026
Conference Publication
EvalugatorA stylized green crocodile with a yellow grid pattern on its back, resembling a calculator. The design combines elements of a crocodile and a calculator, symbolizing a playful or creative concept.—Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels
Koopman, Bevan, Li, Hang, Wang, Shuai and Zuccon, Guido (2026). EvalugatorA stylized green crocodile with a yellow grid pattern on its back, resembling a calculator. The design combines elements of a crocodile and a calculator, symbolizing a playful or creative concept.—Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-032-21321-1_8
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
2025
Conference Publication
2D Matryoshka Training for Information Retrieval
Wang, 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
2025
Conference Publication
Document screenshot retrievers are vulnerable to pixel poisoning attacks
Zhuang, 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
2025
Conference Publication
Reassessing Large Language Model Boolean query generation for systematic reviews
Wang, 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
2025
Conference Publication
RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation
Ross, 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
2025
Other Outputs
Pseudo relevance feedback is enough to close the gap between small and large dense retrieval models
Li, 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
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
2025
Conference Publication
ReSLLM: large language models are strong resource selectors for federated search
Wang, 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 United States: Association for Computing Machinery. doi: 10.1145/3701716.3715595
2025
Other Outputs
LLM-VPRF: Large language model based vector pseudo relevance feedback
Li, 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
2025
Conference Publication
VISA: Retrieval Augmented Generation with Visual Source Attribution
Ma, Xueguang, Zhuang, Shengyao, Koopman, Bevan, Zuccon, Guido, Chen, Wenhu and Lin, Jimmy (2025). VISA: Retrieval Augmented Generation with Visual Source Attribution. 63rd Association for Computational Linguistics Meeting-ACL-Annual, Vienna Austria, Jul 27-Aug 01, 2025. STROUDSBURG: Association for Computational Linguistics (ACL).
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
Conference Publication
Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
Zhuang, 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
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
Supervision
Availability
- Associate Professor Bevan Koopman is:
- Available for supervision
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