Andrew Parry

28 papers A* 5Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
SuiteEval: Simplifying Retrieval Benchmarks.
CoRR
Andrew Parry, Debasis Ganguly, Sean MacAvaney
2026 — conf
[inline-graphic not available: see fulltext] SuiteEval: Simplifying Retrieval Benchmarks.
ECIR (4)
Andrew Parry, Debasis Ganguly, Sean MacAvaney
2025 A* conf
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier.
SIGIR
Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025 J jnl
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier.
CoRR
Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025 — conf
Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora.
ECIR (1)
Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen
2025 J jnl
Disentangling Locality and Entropy in Ranking Distillation.
CoRR
Andrew Parry, Debasis Ganguly, Sean MacAvaney
2025 A* conf
Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors.
SIGIR
Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen
2025 — conf
MechIR: A Mechanistic Interpretability Framework for Information Retrieval.
ECIR (5)
Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney
2025 J jnl
MechIR: A Mechanistic Interpretability Framework for Information Retrieval.
CoRR
Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney
2025 J jnl
Modeling Ranking Properties with In-Context Learning.
CoRR
Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra
2025 J jnl
Report on the 2nd Search Futures Workshop at ECIR 2025.
SIGIR Forum
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
2025 A* conf
Variations in Relevance Judgments and the Shelf Life of Test Collections.
SIGIR
Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang
2025 J jnl
Variations in Relevance Judgments and the Shelf Life of Test Collections.
CoRR
Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang
2024 A* conf
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval".
SIGIR
Andrew Parry, Debasis Ganguly, Manish Chandra
2024 J jnl
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval".
CoRR
Andrew Parry, Debasis Ganguly, Manish Chandra
2024 — conf
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models.
ECIR (2)
Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen
2024 J jnl
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models.
CoRR
Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen
2024 A* conf
Axiomatic Guidance for Efficient and Controlled Neural Search.
SIGIR
Andrew Parry
2024 — conf
Exploiting Positional Bias for Query-Agnostic Generative Content in Search.
ACL (Findings)
Andrew Parry, Sean MacAvaney, Debasis Ganguly
2024 J jnl
Exploiting Positional Bias for Query-Agnostic Generative Content in Search.
CoRR
Andrew Parry, Sean MacAvaney, Debasis Ganguly
2024 — conf
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model.
EMNLP (Findings)
Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra
2024 J jnl
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model.
CoRR
Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra
2024 J jnl
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023.
CoRR
Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis
2024 J jnl
Report on the Collab-a-Thon at ECIR 2024.
SIGIR Forum
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
2024 — conf
SimIIR 3: A Framework for the Simulation of Interactive and Conversational Information Retrieval.
SIGIR-AP
Leif Azzopardi, Timo Breuer, Björn Engelmann, Christin Kreutz, Sean MacAvaney, David Maxwell, Andrew Parry, Adam Roegiest, Xi Wang, Saber Zerhoudi
2024 J jnl
Top-Down Partitioning for Efficient List-Wise Ranking.
CoRR
Andrew Parry, Sean MacAvaney, Debasis Ganguly
2024 J jnl
Training on the Test Model: Contamination in Ranking Distillation.
CoRR
Vishakha Suresh Kalal, Andrew Parry, Sean MacAvaney
2023 — conf
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023.
TREC
Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis