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Journal Articles
- 2024
[j1]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 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(1): 1-11 (2024)
Conference and Workshop Papers
- 2024
- [c7]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. ACL (Findings) 2024: 11030-11047 - [c6]Andrew Parry
, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. ECIR (2) 2024: 286-302 - [c5]Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra:
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. EMNLP (Findings) 2024: 12363-12377 - [c4]Andrew Parry, Debasis Ganguly, Manish Chandra:
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". SIGIR 2024: 14-25 - [c3]Andrew Parry:
Axiomatic Guidance for Efficient and Controlled Neural Search. SIGIR 2024: 3071 - [c2]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. SIGIR-AP 2024: 197-202 - 2023
- [c1]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. TREC 2023
Informal and Other Publications
- 2025
- [i8]Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney:
MechIR: A Mechanistic Interpretability Framework for Information Retrieval. CoRR abs/2501.10165 (2025) - 2024
- [i7]Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen:
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. CoRR abs/2403.07654 (2024) - [i6]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. CoRR abs/2405.00469 (2024) - [i5]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) - [i4]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) - [i3]Andrew Parry, Sean MacAvaney, Debasis Ganguly:
Top-Down Partitioning for Efficient List-Wise Ranking. CoRR abs/2405.14589 (2024) - [i2]Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra:
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. CoRR abs/2409.17745 (2024) - [i1]Vishakha Suresh Kalal, Andrew Parry, Sean MacAvaney:
Training on the Test Model: Contamination in Ranking Distillation. CoRR abs/2411.02284 (2024)
Coauthor Index
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