Andrew Parry

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Peer-reviewed and preprint work, reverse chronological.

2026

1. Andrew Parry, Debasis Ganguly, Sean MacAvaney. SuiteEval: Simplifying Retrieval Benchmarks. Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft,..., 2026. [doi]
2. Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney. Towards a Relevance Posterior in Neural Information Access. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information..., 2026. [doi]
3. Andrew Parry, Maik Fröbe, Martin Potthast, Sean MacAvaney, Benno Stein, Matthias Hagen, Debasis Ganguly. Relaxed Term Matching for Neural Axiomatic Diagnostics. Proceedings of the 12th ACM International Conference on the Theory of Information Retrieval, ICTIR..., 2026.
4. Siqing Huo, Andrew Parry, Charles L. A. Clarke, Debasis Ganguly. Optimal Re-Ranking Depth. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information..., 2026.

2025

1. Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao. Report on the 2nd Search Futures Workshop at ECIR 2025. SIGIR Forum 59, 2025. [doi]
2. Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney. MechIR: A Mechanistic Interpretability Framework for Information Retrieval. Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca,..., 2025. [doi]
3. Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen. Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora. Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca,..., 2025. [doi]
4. Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen. Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information..., 2025. [doi]
5. Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang. Variations in Relevance Judgments and the Shelf Life of Test Collections. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information..., 2025. [doi]
6. Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng. Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information..., 2025. [doi]
7. Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra. Modeling Ranking Properties with In-Context Learning. CoRR abs/2505.17736, 2025. [doi] [arXiv]
8. Andrew Parry, Debasis Ganguly, Sean MacAvaney. Disentangling Locality and Entropy in Ranking Distillation. CoRR abs/2505.21058, 2025. [doi] [arXiv]

2024

1. Sean MacAvaney, Adam Roegiest, Aldo Lipani, Andrew Parry, Björn Engelmann, Christin Katharina Kreutz, Chuan Meng, Erlend Frayling, Eugene Yang, Ferdinand Schlatt, Guglielmo Faggioli, Harrisen Scells, Iana Atanassova, Jana Friese, Janek Bevendorff, Javier Sanz-Cruzado, Johanne R. Trippas, Kanaad Pathak, Kaustubh D. Dhole, Leif Azzopardi, Maik Fröbe, Marc Bertin, Nishchal Prasad, Saber Zerhoudi, Shuai Wang, Shubham Chatterjee, Thomas Jänich, Udo Kruschwitz, Xi Wang, Zijun Long. Report on the Collab-a-Thon at ECIR 2024. SIGIR Forum 58, 2024. [doi]
2. Andrew Parry, Sean MacAvaney, Debasis Ganguly. Exploiting Positional Bias for Query-Agnostic Generative Content in Search. Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting,..., 2024. [doi]
3. Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen. Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow,..., 2024. [doi]
4. Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra. Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16,..., 2024. [doi]
5. Andrew Parry, Debasis Ganguly, Manish Chandra. "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information..., 2024. [doi]
6. Andrew Parry. Axiomatic Guidance for Efficient and Controlled Neural Search. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information..., 2024. [doi]
7. Leif Azzopardi, Timo Breuer, Björn Engelmann, Christin Kreutz, Sean MacAvaney, David Maxwell, Andrew Parry, Adam Roegiest, Xi Wang, Saber Zerhoudi. SimIIR 3: A Framework for the Simulation of Interactive and Conversational Information Retrieval. Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in..., 2024. [doi]
8. Andrew Parry, Debasis Ganguly, Manish Chandra. "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". CoRR abs/2405.01116, 2024. [doi] [arXiv]
9. Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis. Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. CoRR abs/2405.01122, 2024. [doi] [arXiv]
10. Andrew Parry, Sean MacAvaney, Debasis Ganguly. Top-Down Partitioning for Efficient List-Wise Ranking. CoRR abs/2405.14589, 2024. [doi] [arXiv]
11. Vishakha Suresh Kalal, Andrew Parry, Sean MacAvaney. Training on the Test Model: Contamination in Ranking Distillation. CoRR abs/2411.02284, 2024. [doi] [arXiv]

2023

1. Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis. Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. The Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), Gaithersburg, MD, USA, November 14-17, 2023..., 2023. [TREC]

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