Sean MacAvaney
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
91
Venues
16
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
91 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Test-time Corpus Feedback: From Retrieval to RAG. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2026 | ECIR | Revealing MonoT5s Learning Mechanisms via Prompt-Token Adaptation. | Marco Braga, Sean MacAvaney, Craig Macdonald, Gabriella Pasi |
| 2026 | ECIR | To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval. | Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates |
| 2026 | ECIR | Pipeline Inspection, Visualization, and Interoperability in PyTerrier. | Emmanouil Georgios Lionis, Craig Macdonald, Sean MacAvaney |
| 2026 | ECIR | Practical, Efficient, In-Memory Inverted Indexes. | Joel Mackenzie, Sean MacAvaney, Antonio Mallia, Michal Siedlaczek |
| 2026 | ECIR | [inline-graphic not available: see fulltext] SuiteEval: Simplifying Retrieval Benchmarks. | Andrew Parry, Debasis Ganguly, Sean MacAvaney |
| 2026 | ECIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 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 | The Matryoshka Hypencoder. | Majd Alkawaas, Sean MacAvaney |
| 2026 | SIGIR | Retrieve, Rerank, Answer, Experiment: Hands-On IR Research with PyTerrier. | Craig Macdonald, Sean MacAvaney, Nicola Tonellotto, Xiao Wang |
| 2026 | SIGIR | Revisiting Text Ranking in Deep Research. | Chuan Meng, Litu Ou, Sean MacAvaney, Jeff Dalton |
| 2026 | SIGIR | Towards a Relevance Posterior in Neural Information Access. | Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney |
| 2026 | SIGIR | Reproducing Adaptive Reranking for Reasoning-Intensive IR. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2026 | SIGIR | PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID. | Xiao Wang, Sean MacAvaney, Craig Macdonald |
| 2026 | WSDM | WSDM CUP 2026: Multilingual Retrieval. | Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates |
| 2025 | ECIR | Improving Low-Resource Retrieval Effectiveness Using Zero-Shot Linguistic Similarity Transfer. | Andreas Chari, Sean MacAvaney, Iadh Ounis |
| 2025 | ECIR | Efficient Constant-Space Multi-vector Retrieval. | Sean MacAvaney, Antonio Mallia, Nicola Tonellotto |
| 2025 | ECIR | MechIR: A Mechanistic Interpretability Framework for Information Retrieval. | Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney |
| 2025 | ECIR | Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers. | Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto |
| 2025 | ECIR | Guiding Retrieval Using LLM-Based Listwise Rankers. | Mandeep Rathee, Sean MacAvaney, Avishek Anand |
| 2025 | ECIR | mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval. | Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Samuel Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn J. Lawrie |
| 2025 | ECIR | Eval4RAG: Workshop on Evaluation of Retrieval-Augmented Generation Systems. | Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro, Mohammad Aliannejadi |
| 2025 | ECIR | MURR: Model Updating with Regularized Replay for Searching a Document Stream. | Eugene Yang, Nicola Tonellotto, Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard, Scott Miller |
| 2025 | ICTIR | Neural Prioritisation for Web Crawling. | Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto |
| 2025 | NAACL | FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. | Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini |
| 2025 | WWW | GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries. | Hrishikesh Kulkarni, Surya Kallumadi, Sean MacAvaney, Nazli Goharian, Ophir Frieder |
| 2025 | SIGIR | Lost in Transliteration: Bridging the Script Gap in Neural IR. | Andreas Chari, Iadh Ounis, 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 | Artifact Sharing for Information Retrieval Research. | Sean MacAvaney |
| 2025 | SIGIR | Efficient In-Memory Inverted Indexes: Theory and Practice. | Joel Mackenzie, Sean MacAvaney, Antonio Mallia, Michal Siedlaczek |
| 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 |
| 2025 | SIGIR | An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc. | Aldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng |
| 2025 | SIGIR | Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. | Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand |
| 2025 | SIGIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2025 | WSDM | Quam: Adaptive Retrieval through Query Affinity Modelling. | Mandeep Rathee, Sean MacAvaney, Avishek Anand |
| 2024 | ACL | Exploiting Positional Bias for Query-Agnostic Generative Content in Search. | Andrew Parry, Sean MacAvaney, Debasis Ganguly |
| 2024 | DocEng | LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors. | Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney |
| 2024 | ECIR | A Deep Learning Approach for Selective Relevance Feedback. | Suchana Datta, Debasis Ganguly, Sean MacAvaney, Derek Greene |
| 2024 | ECIR | Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. | Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2024 | ECIR | Evaluating the Explainability of Neural Rankers. | Saran Pandian, Debasis Ganguly, Sean MacAvaney |
| 2024 | ECIR | Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models. | Andrew Parry, Maik Frbe, Sean MacAvaney, Martin Potthast, Matthias Hagen |
| 2024 | ECIR | Shallow Cross-Encoders for Low-Latency Retrieval. | Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald |
| 2024 | EMNLP | DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. | Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates |
| 2024 | IJCAI | The Information Retrieval Experiment Platform (Extended Abstract). | Maik Frbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast |
| 2024 | SIGIR | Neural Passage Quality Estimation for Static Pruning. | Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney |
| 2024 | SIGIR | Resources for Combining Teaching and Research in Information Retrieval Coursework. | Maik Frbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, Martin Potthast |
| 2024 | SIGIR | A Reproducibility Study of PLAID. | Sean MacAvaney, Nicola Tonellotto |
| 2024 | SIGIR | On the Evaluation of Machine-Generated Reports. | 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 |
| 2023 | ACL | Effective Contrastive Weighting for Dense Query Expansion. | Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2023 | DocEng | Genetic Generative Information Retrieval. | Hrishikesh Kulkarni, Zachary Young, Nazli Goharian, Ophir Frieder, Sean MacAvaney |
| 2023 | ECIR | Doc2Query-: When Less is More. | Mitko Gospodinov, Sean MacAvaney, Craig Macdonald |
| 2023 | ECIR | A Unified Framework for Learned Sparse Retrieval. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2023 | SIGIR | On the Effects of Regional Spelling Conventions in Retrieval Models. | Andreas Chari, Sean MacAvaney, Iadh Ounis |
| 2023 | SIGIR | The Information Retrieval Experiment Platform. | Maik Frbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast |
| 2023 | SIGIR | Lexically-Accelerated Dense Retrieval. | Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder |
| 2023 | SIGIR | One-Shot Labeling for Automatic Relevance Estimation. | Sean MacAvaney, Luca Soldaini |
| 2023 | SIGIR | Adapting Learned Sparse Retrieval for Long Documents. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2022 | CIKM | Adaptive Re-Ranking with a Corpus Graph. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | CIKM | Adaptive Re-Ranking as an Information-Seeking Agent. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | ECIR | Reproducing Personalised Session Search Over the AOL Query Log. | Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2022 | ECIR | Streamlining Evaluation with ir-measures. | Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2022 | ECIR | Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. | Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder |
| 2022 | LREC | TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users. | Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder |
| 2022 | SIGIR | The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. | Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 2022 | SIGIR | A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. | Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene |
| 2022 | SIGIR | On Survivorship Bias in MS MARCO. | Prashansa Gupta, Sean MacAvaney |
| 2022 | SIGIR | A Python Interface to PISA! | Sean MacAvaney, Craig Macdonald |
| 2022 | SIGIR | CODEC: Complex Document and Entity Collection. | Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton |
| 2022 | SIGIR | An Inspection of the Reproducibility and Replicability of TCT-ColBERT. | Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2021 | AAAI | Interaction Matching for Long-Tail Multi-Label Classification. | Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder |
| 2021 | ACML | Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations. | Shameem Ahamed Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas |
| 2021 | CIKM | IR From Bag-of-words to BERT and Beyond through Practical Experiments. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney |
| 2021 | CIKM | PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis |
| 2021 | SIGIR | DiffIR: Exploring Differences in Ranking Models' Behavior. | Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates |
| 2021 | SIGIR | Simplified Data Wrangling with ir_datasets. | Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian |
| 2021 | WSDM | Real-time Streaming of Gait Assessment for Parkinson's Disease. | Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi |
| 2020 | ECIR | Ranking Significant Discrepancies in Clinical Reports. | Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice |
| 2020 | ECIR | Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. | Sean MacAvaney, Luca Soldaini, Nazli Goharian |
| 2020 | EMNLP | SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search. | Sean MacAvaney, Arman Cohan, Nazli Goharian |
| 2020 | SIGIR | Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | SIGIR | Training Curricula for Open Domain Answer Re-Ranking. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | SIGIR | Expansion via Prediction of Importance with Contextualization. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | WSDM | Streaming Gait Assessment for Parkinson's Disease. | Cristopher Flagg, Ophir Frieder, Sean MacAvaney, Gholam Motamedi |
| 2020 | WSDM | OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. | Sean MacAvaney |
| 2019 | SIGIR | Ontology-Aware Clinical Abstractive Summarization. | Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice |
| 2019 | SIGIR | CEDR: Contextualized Embeddings for Document Ranking. | Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian |
| 2019 | SIGIR | Content-Based Weak Supervision for Ad-Hoc Re-Ranking. | Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder |
| 2018 | COLING | SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. | Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian |
| 2018 | NAACL | A Deeper Look into Dependency-Based Word Embeddings. | Sean MacAvaney, Amir Zeldes |
| 2018 | SIGIR | Characterizing Question Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |
| 2018 | SIGIR | Overcoming Low-Utility Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |