Andrew Parry

According to our database, Andrew Parry authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Disentangling Locality and Entropy in Ranking Distillation.

Andrew Parry, Debasis Ganguly, Sean MacAvaney

CoRR, May, 2025

Modeling Ranking Properties with In-Context Learning.

Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra

CoRR, May, 2025

Variations in Relevance Judgments and the Shelf Life of Test Collections.

Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier.

Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors.

Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MechIR: A Mechanistic Interpretability Framework for Information Retrieval.

Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney

Proceedings of the Advances in Information Retrieval, 2025

Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora.

Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen

Proceedings of the Advances in Information Retrieval, 2025

2024

Report on the Collab-a-Thon at ECIR 2024.

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

SIGIR Forum, June, 2024

Training on the Test Model: Contamination in Ranking Distillation.

Vishakha Suresh Kalal, Andrew Parry, Sean MacAvaney

CoRR, 2024

Top-Down Partitioning for Efficient List-Wise Ranking.

Andrew Parry, Sean MacAvaney, Debasis Ganguly

CoRR, 2024

"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval".

Andrew Parry, Debasis Ganguly, Manish Chandra

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Axiomatic Guidance for Efficient and Controlled Neural Search.

Andrew Parry

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SimIIR 3: A Framework for the Simulation of Interactive and Conversational Information Retrieval.

Leif Azzopardi, Timo Breuer, Björn Engelmann, Christin Kreutz, Sean MacAvaney, David Maxwell, Andrew Parry, Adam Roegiest, Xi Wang, Saber Zerhoudi

Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model.

Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models.

Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen

Proceedings of the Advances in Information Retrieval, 2024

Exploiting Positional Bias for Query-Agnostic Generative Content in Search.

Andrew Parry, Sean MacAvaney, Debasis Ganguly

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023.

Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis

Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023