| 2026 | ECIR | [inline-graphic not available: see fulltext] SuiteEval: Simplifying Retrieval Benchmarks. | Andrew Parry, Debasis Ganguly, Sean MacAvaney |
| 2026 | ICTIR | Relaxed Term Matching for Neural Axiomatic Diagnostics. | Andrew Parry, Maik Frbe, Martin Potthast, Sean MacAvaney, Benno Stein, Matthias Hagen, Debasis Ganguly |
| 2026 | SIGIR | Optimal Re-Ranking Depth. | Siqing Huo, Andrew Parry, Debasis Ganguly, Charles L. A. Clarke |
| 2026 | SIGIR | Towards a Relevance Posterior in Neural Information Access. | Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney |
| 2025 | ECIR | Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora. | Maik Frbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen |
| 2025 | ECIR | MechIR: A Mechanistic Interpretability Framework for Information Retrieval. | Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney |
| 2025 | SIGIR | Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors. | Maik Frbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen |
| 2025 | SIGIR | Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. | Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng |
| 2025 | SIGIR | Variations in Relevance Judgments and the Shelf Life of Test Collections. | Andrew Parry, Maik Frbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang |
| 2024 | ACL | Exploiting Positional Bias for Query-Agnostic Generative Content in Search. | Andrew Parry, Sean MacAvaney, Debasis Ganguly |
| 2024 | ECIR | Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. | Andrew Parry, Maik Frbe, Sean MacAvaney, Martin Potthast, Matthias Hagen |
| 2024 | EMNLP | Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. | Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra |
| 2024 | SIGIR | Axiomatic Guidance for Efficient and Controlled Neural Search. | Andrew Parry |
| 2024 | SIGIR | "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". | Andrew Parry, Debasis Ganguly, Manish Chandra |