Sean MacAvaney

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 123

Top Venues

Publications

James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler
On the Evaluation of Machine-Generated Reports. SIGIR (2024)
Andrew Parry, Sean MacAvaney, Debasis Ganguly
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. CoRR (2024)
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
PARADE: Passage Representation Aggregation forDocument Reranking. ACM Trans. Inf. Syst. 42 (2) (2024)
Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney
Neural Passage Quality Estimation for Static Pruning. SIGIR (2024)
Maik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, Martin Potthast
Resources for Combining Teaching and Research in Information Retrieval Coursework. SIGIR (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 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) (2024)
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang
Overview of the TREC 2023 NeuCLIR Track. CoRR (2024)
Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR (2024)
Saran Pandian, Debasis Ganguly, Sean MacAvaney
Evaluating the Explainability of Neural Rankers. CoRR (2024)
Sean MacAvaney, Nicola Tonellotto
A Reproducibility Study of PLAID. CoRR (2024)
Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene
A Deep Learning Approach for Selective Relevance Feedback. ECIR (2) (2024)
Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald
Shallow Cross-Encoders for Low-Latency Retrieval. CoRR (2024)
Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. ECIR (3) (2024)
Saran Pandian, Debasis Ganguly, Sean MacAvaney
Evaluating the Explainability of Neural Rankers. ECIR (4) (2024)
Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. CoRR (2024)
Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald
Shallow Cross-Encoders for Low-Latency Retrieval. ECIR (3) (2024)
Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney
Neural Passage Quality Estimation for Static Pruning. CoRR (2024)
James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler
On the Evaluation of Machine-Generated Reports. CoRR (2024)
Sean MacAvaney, Nicola Tonellotto
A Reproducibility Study of PLAID. SIGIR (2024)
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 (2024)
Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene
A Deep Learning Approach for Selective Relevance Feedback. CoRR (2024)
Andrew Parry, Sean MacAvaney, Debasis Ganguly
Top-Down Partitioning for Efficient List-Wise Ranking. CoRR (2024)
Andrew Parry, Sean MacAvaney, Debasis Ganguly
Exploiting Positional Bias for Query-Agnostic Generative Content in Search. ACL (Findings) (2024)
Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. ECIR (2) (2024)
Thong Nguyen, Sean MacAvaney, Andrew Yates
A Unified Framework for Learned Sparse Retrieval. CoRR (2023)
Mitko Gospodinov, Sean MacAvaney, Craig Macdonald
Doc2Query-: When Less is More. CoRR (2023)
Sean MacAvaney
Re-Thinking Re-Ranking. IIR (2023)
Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
The Information Retrieval Experiment Platform. SIGIR (2023)
Sean MacAvaney, Xi Wang
Online Distillation for Pseudo-Relevance Feedback. CoRR (2023)
Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
The Information Retrieval Experiment Platform. CoRR (2023)
Iain Mackie, Shubham Chatterjee, Sean MacAvaney, Jeffrey Dalton
Re-Rank - Expand - Repeat: Adaptive Query Expansion for Document Retrieval Using Words and Entities. CoRR (2023)
Andreas Chari, Sean MacAvaney, Iadh Ounis
On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR (2023)
Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder
Lexically-Accelerated Dense Retrieval. SIGIR (2023)
Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder
Lexically-Accelerated Dense Retrieval. CoRR (2023)
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang
Overview of the TREC 2022 NeuCLIR Track. CoRR (2023)
Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
The Information Retrieval Experiment Platform. LWDA (2023)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Generative Query Reformulation for Effective Adhoc Search. CoRR (2023)
Hrishikesh Kulkarni, Zachary Young, Nazli Goharian, Ophir Frieder, Sean MacAvaney
Genetic Generative Information Retrieval. DocEng (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
Adapting Learned Sparse Retrieval for Long Documents. SIGIR (2023)
Sean MacAvaney, Luca Soldaini
One-Shot Labeling for Automatic Relevance Estimation. SIGIR (2023)
Mitko Gospodinov, Sean MacAvaney, Craig Macdonald
Doc2Query-: When Less is More. ECIR (2) (2023)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Effective Contrastive Weighting for Dense Query Expansion. ACL (1) (2023)
Sean MacAvaney, Luca Soldaini
One-Shot Labeling for Automatic Relevance Estimation. CoRR (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
A Unified Framework for Learned Sparse Retrieval. ECIR (3) (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
Adapting Learned Sparse Retrieval for Long Documents. CoRR (2023)
Andreas Chari, Sean MacAvaney, Iadh Ounis
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR (2023)
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
ABNIRML: Analyzing the Behavior of Neural IR Models. Trans. Assoc. Comput. Linguistics 10 (2022)
Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. ECIR (1) (2022)
Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder
TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users. LREC (2022)
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang
Overview of the TREC 2022 NeuCLIR Track. TREC (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR (2022)
Sean MacAvaney, Craig Macdonald
A Python Interface to PISA! SIGIR (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Reproducing Personalised Session Search over the AOL Query Log. CoRR (2022)
Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton
CODEC: Complex Document and Entity Collection. SIGIR (2022)
Prashansa Gupta, Sean MacAvaney
On Survivorship Bias in MS MARCO. SIGIR (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking with a Corpus Graph. CIKM (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR (2022)
Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene
A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. SIGIR (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops (2022)
Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton
CODEC: Complex Document and Entity Collection. CoRR (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) (2022)
Prashansa Gupta, Sean MacAvaney
On Survivorship Bias in MS MARCO. CoRR (2022)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR (2022)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Streamlining Evaluation with ir-measures. ECIR (2) (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking with a Corpus Graph. CoRR (2022)
Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. TREC (2022)
Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates
DiffIR: Exploring Differences in Ranking Models' Behavior. SIGIR (2021)
Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian
ToxCCIn: Toxic Content Classification with Interpretability. WASSA@EACL (2021)
Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. CoRR (2021)
Sean MacAvaney, Craig Macdonald, Iadh Ounis
Streamlining Evaluation with ir-measures. CoRR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. SIGIR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. CoRR (2021)
Sean MacAvaney
Effective and practical neural ranking. SIGIR Forum 55 (1) (2021)
Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder
Interaction Matching for Long-Tail Multi-Label Classification. SDU@AAAI (2021)
Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis
IntenT5: Search Result Diversification using Causal Language Models. CoRR (2021)
Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi
Real-time Streaming of Gait Assessment for Parkinson's Disease. WSDM (2021)
Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. CoRR (2021)
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM (2021)
Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. ACML (2021)
Tong Xiang, Sean MacAvaney, Eugene Yang, Nazli Goharian
ToxCCIn: Toxic Content Classification with Interpretability. CoRR (2021)
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney
IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM (2021)
Sean MacAvaney, Arman Cohan, Nazli Goharian
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice
Ranking Significant Discrepancies in Clinical Reports. ECIR (2) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. SIGIR (2020)
Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice
Ranking Significant Discrepancies in Clinical Reports. CoRR (2020)
Sean MacAvaney, Arman Cohan, Nazli Goharian
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. EMNLP (1) (2020)
Sean MacAvaney, Luca Soldaini, Nazli Goharian
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. ECIR (2) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR (2020)
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan
ABNIRML: Analyzing the Behavior of Neural IR Models. CoRR (2020)
Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection. SemEval@COLING (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. SIGIR (2020)
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
PARADE: Passage Representation Aggregation for Document Reranking. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. CoRR (2020)
Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi
Streaming Gait Assessment for Parkinson's Disease. HSDM@WSDM (2020)
Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder
Interaction Matching for Long-Tail Multi-Label Classification. CoRR (2020)
Sean MacAvaney
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. WSDM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sean MacAvaney