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2026

Conference Publication

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Zhuang, Shengyao, Ma, Xueguang, Yao, Zheng, Wang, Shuai, Koopman, Bevan, Lin, Jimmy and Zuccon, Guido (2026). Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. New York, NY, USA: ACM. doi: 10.1145/3805712.3809961

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

2026

Conference Publication

When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment

Yu, Chuting, Li, Hang, Zuccon, Guido, Mackenzie, Joel and Leelanupab, Teerapong (2026). When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment. New York, NY, USA: ACM. doi: 10.1145/3805712.3809905

When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment

2026

Conference Publication

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

Yin, Yu, Wang, Shuai, Koopman, Bevan and Zuccon, Guido (2026). The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper. New York, NY, USA: ACM. doi: 10.1145/3805712.3808553

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

2026

Conference Publication

Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval

Zhou, Yongjie, Wang, Shuai, Koopman, Bevan and Zuccon, Guido (2026). Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval. New York, NY, USA: ACM. doi: 10.1145/3805712.3808575

Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval

2026

Conference Publication

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking

Chen, Haodong, Zhuang, Shengyao, Yao, Zheng, Zuccon, Guido and Leelanupab, Teerapong (2026). Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking. New York, NY, USA: ACM. doi: 10.1145/3805712.3808558

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking

2026

Conference Publication

Inferential Question Answering

Mozafari, Jamshid, Zamani, Hamed, Zuccon, Guido and Jatowt, Adam (2026). Inferential Question Answering. Association for Computing Machinery, Inc. doi: 10.1145/3774904.3792653

Inferential Question Answering

2026

Conference Publication

A simple sketch of a disposable coffee cup with a lid. The cup features a green circle in the center, possibly representing a logo or design element. The drawing is outlined in black with minimal detail. Starbucks: Improved Training for 2D Matryoshka Embeddings

Zhuang, Shengyao, Wang, Shuai, Zheng, Fabio, Koopman, Bevan and Zuccon, Guido (2026). A simple sketch of a disposable coffee cup with a lid. The cup features a green circle in the center, possibly representing a logo or design element. The drawing is outlined in black with minimal detail. Starbucks: Improved Training for 2D Matryoshka Embeddings. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21289-4_5

A simple sketch of a disposable coffee cup with a lid. The cup features a green circle in the center, possibly representing a logo or design element. The drawing is outlined in black with minimal detail. Starbucks: Improved Training for 2D Matryoshka Embeddings

2026

Conference Publication

AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation

Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2026). AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation. Stroudsburg, PA, USA: Association for Computational Linguistics. doi: 10.18653/v1/2026.eacl-long.68

AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation

2026

Conference Publication

Evalugator — Rapid, agile development and evaluation of Retrieval Augmented Generation systems without labels

Koopman, Bevan, Li, Hang, Wang, Shuai and Zuccon, Guido (2026). Evalugator — Rapid, agile development and evaluation of Retrieval Augmented Generation systems without labels. 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, Mar 29 - Apr 02, 2026. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-21321-1_8

Evalugator — Rapid, agile development and evaluation of Retrieval Augmented Generation systems without labels

2026

Conference Publication

Leveraging gradient information for out-of-domain performance estimations

Khramtsova, Ekaterina, Baktashmotlagh, Mahsa, Zuccon, Guido, Wang, Xi and Salzmann, Mathieu (2026). Leveraging gradient information for out-of-domain performance estimations. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025), Porto, Portugal, 15-19 September 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-06106-5_18

Leveraging gradient information for out-of-domain performance estimations

2025

Conference Publication

Beyond GeneGPT: a multi-agent architecture with open-source LLMs for enhanced genomic question answering

Chen, Haodong, Zuccon, Guido and Leelanupab, Teerapong (2025). Beyond GeneGPT: a multi-agent architecture with open-source LLMs for enhanced genomic question answering. 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Xi'an, China, 7-10 December 2025. New York, NY, United States: ACM. doi: 10.1145/3767695.3769488

Beyond GeneGPT: a multi-agent architecture with open-source LLMs for enhanced genomic question answering

2025

Conference Publication

SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R <sup>2</sup> LLMs)

Zuccon, Guido, Zhuang, Shengyao, Ma, Xueguang and Koopman, Bevan (2025). SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R 2 LLMs). New York, NY, USA: ACM. doi: 10.1145/3767695.3769522

SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R <sup>2</sup> LLMs)

2025

Conference Publication

Preaching to the ChoIR: lessons IR should share with AI

Demartini, Gianluca, Hauff, Claudia, Lease, Matthew, Mizzaro, Stefano, Roitero, Kevin, Sanderson, Mark, Scholer, Falk, Shah, Chirag, Spina, Damiano, Thomas, Paul, de Vries, Arjen P. and Zuccon, Guido (2025). Preaching to the ChoIR: lessons IR should share with AI. ICTIR '25: International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, Padua, Italy, 18 July 2025. New York, NY USA: ACM. doi: 10.1145/3731120.3744612

Preaching to the ChoIR: lessons IR should share with AI

2025

Conference Publication

RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation

Ross, Jonathan J., Khramtsova, Ekaterina, van der Vegt, Anton, Koopman, Bevan and Zuccon, Guido (2025). RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730337

RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation

2025

Conference Publication

Reassessing Large Language Model Boolean query generation for systematic reviews

Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2025). Reassessing Large Language Model Boolean query generation for systematic reviews. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730329

Reassessing Large Language Model Boolean query generation for systematic reviews

2025

Conference Publication

Unlearning for Federated Online Learning to Rank: a reproducibility study

Tao, Yiling, Wang, Shuyi, Yang, Jiaxi and Zuccon, Guido (2025). Unlearning for Federated Online Learning to Rank: a reproducibility study. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730336

Unlearning for Federated Online Learning to Rank: a reproducibility study

2025

Conference Publication

ReviewHQ: An API-based system for reviewer assignment and quality control in research conferences

Zuccon, Guido (2025). ReviewHQ: An API-based system for reviewer assignment and quality control in research conferences. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730139

ReviewHQ: An API-based system for reviewer assignment and quality control in research conferences

2025

Conference Publication

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

Yao, Zheng, Wang, Shuai and Zuccon, Guido (2025). Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730332

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

2025

Conference Publication

AiReview: An open platform for accelerating systematic reviews with LLMs

Mao, Xinyu, Leelanupab, Teerapong, Potthast, Martin, Scells, Harrisen and Zuccon, Guido (2025). AiReview: An open platform for accelerating systematic reviews with LLMs. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730133

AiReview: An open platform for accelerating systematic reviews with LLMs

2025

Conference Publication

Document screenshot retrievers are vulnerable to pixel poisoning attacks

Zhuang, Shengyao, Khramtsova, Ekaterina, Ma, Xueguang, Koopman, Bevan, Lin, Jimmy and Zuccon, Guido (2025). Document screenshot retrievers are vulnerable to pixel poisoning attacks. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730056

Document screenshot retrievers are vulnerable to pixel poisoning attacks