Publications

Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, Mark Sanderson (2025). A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries.. CIKM.
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Kun Ran, Shuoqi Sun, Khoi Nguyen Dinh Anh, Damiano Spina, Oleg Zendel (2025). RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge. arXiv.
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Johanne R Trippas, Oleg Zendel, Adam Roegiest (2025). Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration. Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval.
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Oleg Zendel, J. Shane Culpepper, Falk Scholer, Paul Thomas (2024). Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing. Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’24).
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Oleg Zendel, Binsheng Liu, J. Shane Culpepper, Falk Scholer (2023). Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems. The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop (QPP++).
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Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer (2022). sMARE: a new paradigm to evaluate and understand query performance prediction methods. Information Retrieval Journal.
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Oleg Zendel, Melika P Ebrahim, J Shane Culpepper, Alistair Moffat, Falk Scholer (2022). Can Users Predict Relative Query Effectiveness?. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer (2021). sMARE: An enhanced query performance prediction evaluation approach. SEBD 2021: The 29th Italian Symposium on Advanced Database Systems.
Oleg Zendel (2021). New Perspectives to Query Performance Prediction Evaluation. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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Oleg Zendel, J Shane Culpepper, Scholer Falk (2021). Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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