Guido Zuccon

Venues

Frequent coauthors

Papers

1. AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
   EACL 2026 ·

   Shuai Wang

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2. Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval
   SIGIR 2026 ·

   Yongjie Zhou

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3. Evalugator[inline-graphic not available: see fulltext] - Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels
   ECIR 2026 ·

   Bevan Koopman

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4. Inferential Question Answering
   WWW 2026 ·

   Jamshid Mozafari

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5. Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
   SIGIR 2026 ·

   Shengyao Zhuang

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6. The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper
   SIGIR 2026 ·

   Yu Yin

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7. When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
   SIGIR 2026 ·

   Chuting Yu

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8. Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
   SIGIR 2026 ·

   Haodong Chen

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9. [inline-graphic not available: see fulltext] Starbucks: Improved Training for 2D Matryoshka Embeddings
   ECIR 2026 ·

   Shengyao Zhuang

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10. 2D Matryoshka Training for Information Retrieval
    SIGIR 2025 ·

    Shuai Wang

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11. AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs
    SIGIR 2025 ·

    Xinyu Mao

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12. An Investigation of Prompt Variations for Zero-Shot LLM-Based Rankers
    ECIR 2025 ·

    Shuoqi Sun

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13. Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora
    ECIR 2025 ·

    Maik Fröbe

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14. DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense Retrieval
    ECIR 2025 ·

    Xinyu Mao

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15. Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
    SIGIR 2025 ·

    Shengyao Zhuang

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16. Leveraging Gradient Information for Out-of-Domain Performance Estimations
    ECML-PKDD 2025 ·

    Ekaterina Khramtsova

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17. Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
    SIGIR 2025 ·

    Zheng Yao

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18. R2LLMs: Retrieval and Ranking with LLMs
    SIGIR 2025 · Guido Zuccon
19. RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation
    SIGIR 2025 ·

    Jonathan J. Ross

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20. Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking
    ECIR 2025 ·

    Ferdinand Schlatt

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21. ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
    WWW 2025 ·

    Shuai Wang

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22. Reassessing Large Language Model Boolean Query Generation for Systematic Reviews
    SIGIR 2025 ·

    Shuai Wang

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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

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25. Unlearning for Federated Online Learning to Rank: A Reproducibility Study
    SIGIR 2025 ·

    Yiling Tao

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26. VISA: Retrieval Augmented Generation with Visual Source Attribution
    ACL 2025 ·

    Xueguang Ma

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27. A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
    SIGIR 2024 ·

    Shengyao Zhuang

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28. CoLAL: Co-learning Active Learning for Text Classification
    AAAI 2024 ·

    Linh Le

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29. Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
    SIGIR 2024 ·

    Xinyu Mao

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30. Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection
    SIGIR 2024 ·

    Ekaterina Khramtsova

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31. Evaluating Generative Ad Hoc Information Retrieval
    SIGIR 2024 ·

    Lukas Gienapp

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32. FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
    SIGIR 2024 ·

    Shuai Wang

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33. Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures
    SIGIR 2024 ·

    Shuai Wang

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34. Leveraging LLMs for Unsupervised Dense Retriever Ranking
    SIGIR 2024 ·

    Ekaterina Khramtsova

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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

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36. PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
    EMNLP 2024 ·

    Shengyao Zhuang

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37. Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval
    SIGIR 2024 ·

    Watheq Mansour

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38. Source-Free Domain-Invariant Performance Prediction
    ECCV 2024 ·

    Ekaterina Khramtsova

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