PPaperPicks

Guido Zuccon

University of Queensland, Australia

38 papers at tracked venues · 27 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-0271-5563 ↗Google Scholar ↗Homepage ↗

Venues

SIGIR ×23ECIR ×7WWW ×2AAAI ×1ACL ×1EACL ×1ECCV ×1ECML-PKDD ×1EMNLP ×1

Frequent coauthors

Shengyao Zhuang
×20
Bevan Koopman
×17
Shuai Wang
×15
Harrisen Scells
×8
Ekaterina Khramtsova
×7
Xueguang Ma
×5
Teerapong Leelanupab
×5
Martin Potthast
×5
Jimmy Lin
×4
Maik Fröbe
×4
Matthias Hagen
×4
Mahsa Baktashmotlagh
×4

Papers

  1. AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
    EACL 2026 ·
    Shuai Wang
    ,
    Harrisen Scells
    ,
    Bevan Koopman
    , Guido Zuccon
  2. Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval
    SIGIR 2026 ·
    Yongjie Zhou
    ,
    Shuai Wang
    ,
    Bevan Koopman
    , Guido Zuccon
  3. Evalugator[inline-graphic not available: see fulltext] - Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels
    ECIR 2026 ·
    Bevan Koopman
    ,
    Hang Li
    ,
    Shuai Wang
    , Guido Zuccon
  4. Inferential Question Answering
    WWW 2026 ·
    Jamshid Mozafari
    ,
    Hamed Zamani
    , Guido Zuccon,
    Adam Jatowt
  5. Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
    SIGIR 2026 ·
    Shengyao Zhuang
    ,
    Xueguang Ma
    ,
    Zheng Yao
    ,
    Shuai Wang
    ,
    Bevan Koopman
    ,
    Jimmy Lin
    , Guido Zuccon
  6. The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper
    SIGIR 2026 ·
    Yu Yin
    ,
    Shuai Wang
    ,
    Bevan Koopman
    , Guido Zuccon
  7. When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
    SIGIR 2026 ·
    Chuting Yu
    ,
    Hang Li
    , Guido Zuccon,
    Joel Mackenzie
    ,
    Teerapong Leelanupab
  8. Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
    SIGIR 2026 ·
    Haodong Chen
    ,
    Shengyao Zhuang
    ,
    Zheng Yao
    , Guido Zuccon,
    Teerapong Leelanupab
  9. [inline-graphic not available: see fulltext] Starbucks: Improved Training for 2D Matryoshka Embeddings
    ECIR 2026 ·
    Shengyao Zhuang
    ,
    Shuai Wang
    ,
    Fabio Zheng
    ,
    Bevan Koopman
    , Guido Zuccon
  10. 2D Matryoshka Training for Information Retrieval
    SIGIR 2025 ·
    Shuai Wang
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon
  11. AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs
    SIGIR 2025 ·
    Xinyu Mao
    ,
    Teerapong Leelanupab
    ,
    Martin Potthast
    ,
    Harrisen Scells
    , Guido Zuccon
  12. An Investigation of Prompt Variations for Zero-Shot LLM-Based Rankers
    ECIR 2025 ·
    Shuoqi Sun
    ,
    Shengyao Zhuang
    ,
    Shuai Wang
    , Guido Zuccon
  13. Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora
    ECIR 2025 ·
    Maik Fröbe
    ,
    Andrew Parry
    ,
    Harrisen Scells
    ,
    Shuai Wang
    ,
    Shengyao Zhuang
    , Guido Zuccon,
    Martin Potthast
    ,
    Matthias Hagen
  14. DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense Retrieval
    ECIR 2025 ·
    Xinyu Mao
    ,
    Teerapong Leelanupab
    ,
    Harrisen Scells
    , Guido Zuccon
  15. Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
    SIGIR 2025 ·
    Shengyao Zhuang
    ,
    Ekaterina Khramtsova
    ,
    Xueguang Ma
    ,
    Bevan Koopman
    ,
    Jimmy Lin
    , Guido Zuccon
  16. Leveraging Gradient Information for Out-of-Domain Performance Estimations
    ECML-PKDD 2025 ·
    Ekaterina Khramtsova
    ,
    Mahsa Baktashmotlagh
    , Guido Zuccon,
    Xi Wang
    ,
    Mathieu Salzmann
  17. Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
    SIGIR 2025 ·
    Zheng Yao
    ,
    Shuai Wang
    , Guido Zuccon
  18. R2LLMs: Retrieval and Ranking with LLMs
    SIGIR 2025 · Guido Zuccon,
    Shengyao Zhuang
    ,
    Xueguang Ma
  19. RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation
    SIGIR 2025 ·
    Jonathan J. Ross
    ,
    Ekaterina Khramtsova
    ,
    Anton van der Vegt
    ,
    Bevan Koopman
    , Guido Zuccon
  20. Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking
    ECIR 2025 ·
    Ferdinand Schlatt
    ,
    Maik Fröbe
    ,
    Harrisen Scells
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon,
    Benno Stein
    ,
    Martin Potthast
    ,
    Matthias Hagen
  21. ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
    WWW 2025 ·
    Shuai Wang
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon
  22. Reassessing Large Language Model Boolean Query Generation for Systematic Reviews
    SIGIR 2025 ·
    Shuai Wang
    ,
    Harrisen Scells
    ,
    Bevan Koopman
    , Guido Zuccon
  23. ReviewHQ: An API-Based System for Reviewer Assignment and Quality Control in Research Conferences
    SIGIR 2025 · Guido Zuccon
  24. Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders
    ECIR 2025 ·
    Ferdinand Schlatt
    ,
    Maik Fröbe
    ,
    Harrisen Scells
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon,
    Benno Stein
    ,
    Martin Potthast
    ,
    Matthias Hagen
  25. Unlearning for Federated Online Learning to Rank: A Reproducibility Study
    SIGIR 2025 ·
    Yiling Tao
    ,
    Shuyi Wang
    ,
    Jiaxi Yang
    , Guido Zuccon
  26. VISA: Retrieval Augmented Generation with Visual Source Attribution
    ACL 2025 ·
    Xueguang Ma
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon,
    Wenhu Chen
    ,
    Jimmy Lin
  27. A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
    SIGIR 2024 ·
    Shengyao Zhuang
    ,
    Honglei Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon
  28. CoLAL: Co-learning Active Learning for Text Classification
    AAAI 2024 ·
    Linh Le
    ,
    Genghong Zhao
    ,
    Xia Zhang
    , Guido Zuccon,
    Gianluca Demartini
  29. Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
    SIGIR 2024 ·
    Xinyu Mao
    ,
    Shengyao Zhuang
    ,
    Bevan Koopman
    , Guido Zuccon
  30. Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection
    SIGIR 2024 ·
    Ekaterina Khramtsova
    ,
    Teerapong Leelanupab
    ,
    Shengyao Zhuang
    ,
    Mahsa Baktashmotlagh
    , Guido Zuccon
  31. Evaluating Generative Ad Hoc Information Retrieval
    SIGIR 2024 ·
    Lukas Gienapp
    ,
    Harrisen Scells
    ,
    Niklas Deckers
    ,
    Janek Bevendorff
    ,
    Shuai Wang
    ,
    Johannes Kiesel
    ,
    Shahbaz Syed
    ,
    Maik Fröbe
    , Guido Zuccon,
    Benno Stein
    ,
    Matthias Hagen
    ,
    Martin Potthast
  32. FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
    SIGIR 2024 ·
    Shuai Wang
    ,
    Ekaterina Khramtsova
    ,
    Shengyao Zhuang
    , Guido Zuccon
  33. Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures
    SIGIR 2024 ·
    Shuai Wang
    ,
    Shengyao Zhuang
    , Guido Zuccon
  34. Leveraging LLMs for Unsupervised Dense Retriever Ranking
    SIGIR 2024 ·
    Ekaterina Khramtsova
    ,
    Shengyao Zhuang
    ,
    Mahsa Baktashmotlagh
    , Guido Zuccon
  35. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
    SIGIR 2024 ·
    Grace Hui Yang
    ,
    Hongning Wang
    ,
    Sam Han
    ,
    Claudia Hauff
    , Guido Zuccon,
    Yi Zhang
  36. PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
    EMNLP 2024 ·
    Shengyao Zhuang
    ,
    Xueguang Ma
    ,
    Bevan Koopman
    ,
    Jimmy Lin
    , Guido Zuccon
  37. Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval
    SIGIR 2024 ·
    Watheq Mansour
    ,
    Shengyao Zhuang
    , Guido Zuccon,
    Joel Mackenzie
  38. Source-Free Domain-Invariant Performance Prediction
    ECCV 2024 ·
    Ekaterina Khramtsova
    ,
    Mahsa Baktashmotlagh
    , Guido Zuccon,
    Xi Wang
    ,
    Mathieu Salzmann