The following papers are accepted at ICTIR 2025 and displayed in alphabetical order.

A Robusteness Assessment of Query Performance Prediction (QPP) Methods based on Risk-Sensitive Analysis
Ricardo Marçal de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo José Lage Alvarenga, Nicola Ferro, Marcos André Gonçalves

A Substring Extraction-Based RAG Method for Minimising Hallucinations in Aircraft Maintenance Question Answering
Quentin SIGNÉ, Mohand Boughanem, Jose G Moreno, Thiziri Belkacem

AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews
Michael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani, Gabriella Pasi, Stefano Mizzaro

Ameliorating the Herding Effect Driven by Search Engines using Diversity-Based Ranking
Tommy Mordo, Itamar Reinman, Moshe Tennenholtz, Oren Kurland

An Exploration of Attempts to Automate Relevance Assessments with Large Language Models
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel F Campos, Nick Craswell, Ian Soboroff, Jimmy Lin

Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
Prachi, Sumit Bhatia, Srikanta Bedathur

Axioms for Retrieval-Augmented Generation
Jan Heinrich Merker, Maik Fröbe, Benno Stein, Martin Potthast, Matthias Hagen

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
Georgios Koutroumpas, Sebastian Idesis, Mireia Masias Bruns, Carlos Segura, Joemon M. Jose, Sergi Abadal, Ioannis Arapakis

Characterizing Mosaicing Inference Risk: A Preliminary Study
Nathaniel Rollings, Douglas W. Oard

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Alireza Salemi, Hamed Zamani

Comprehensive Understanding of the Impact of Exposure-Based Item-Fairness in Retrieval-Augmented Generation
To Eun Kim, Fernando Diaz

Correctness is not Faithfulness in Retrieval Augmented Generation Attributions
Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand

Criteria-Based LLM Relevance Judgments
Naghmeh Farzi, Laura Dietz

Deeper Than the Pool: Are Language Models Really Suited for Completion of Unlabeled Query–Document Judgments ?
Saber Zahhar, Nazim Kazar, Alexandre DAHAN

Demographically-Inspired Query Variants Using an LLM
Marwah Alaofi, Nicola Ferro, Paul Thomas, Falk Scholer, Mark Sanderson

Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
Chris Samarinas, Hamed Zamani

Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval
Giulio D’Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto

Enhancing Retrieval-Augmented Generation for Text Completion Through Query Selection
Idan Pogrebinsky, David Carmel, Oren Kurland

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models
Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand

Expert Finding Revisited: A Uniform Exploration of Methods
Marjan Azimi, Alistair Moffat, Justin Zobel

Exploring the Utility of Embedding Similarity for Contract Tasks
Jonathan Donnelly, Adam Roegiest

Generalized Personalized PageRank with Graph Convolutional Networks in Recommender Systems
Hiroshi Wayama, Kazunari Sugiyama

Handling Ties in Rank-Biased Measurement: Two Complementary Views
Alistair Moffat

Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
Gabriel Iturra-Bocaz, Danny Vo, Petra Galuscakova

Impersonating the Crowd: Evaluating LLMs’ Ability to Replicate Human Judgment in Misinformation Assessment
David La Barbera, Riccardo Lunardi, Mengdie Zhuang, Kevin Roitero

Insights into LLM-Based Conversational Search: A Study of Tetun-Speaking Users’ Search Behavior
Gabriel de Jesus, Sérgio Nunes

JointRanker: Rank large set with single pass
Evgeny Dedov

Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins
Lukas Gienapp, Niklas Deckers, Martin Potthast, Harrisen Scells

Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
Alireza Salemi, Hamed Zamani

Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic Embeddings
Bryan Amador, Richard Zanibbi

Modelling and Predicting User Actions in Conversational Information Retrieval
Xiao Fu, Aldo Lipani, Noriko Kando

Neural Prioritisation for Web Crawling
Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto

Normalized Set-Level Ideal DCG: A More Reliable Early-Stage Retrieval Metric
Xiao Fu, Navdeep Singh Bedi, Fabio Crestani, Aldo Lipani

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
Sha Li, Naren Ramakrishnan

Preaching to the ChoIR: Lessons IR Should Share with AI
Gianluca Demartini, Claudia Hauff, Matthew Lease, Stefano Mizzaro, Kevin Roitero, Mark Sanderson, Falk Scholer, Chirag Shah, Damiano Spina, Paul Thomas, Arjen P. de Vries, Guido Zuccon

Principles and Guidelines for the Use of LLM Judges
Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, Nick Craswell

Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval
Tanya Chowdhury, Atharva Nijasure, James Allan

QPP-RA: Aggregating Large Language Model Rankings
Filippo Betello, Matteo Russo, Paul Duetting, Stefano Leonardi, Fabrizio Silvestri

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications
Leila Tavakoli, Hamed Zamani

Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization
Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah

Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models
Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis

Retrieving Under Uncertainty: Towards a Chatbot Uncertainty Taxonomy (CUT) for Information Retrieval
Alina Asisof

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
Tan Loc Nguyen, Tin T. Tran

The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
Xingyu Deng, Xi Wang, Mark Stevenson

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
Maryam Mousavian, Zahra Abbasiantaeb, Mohammad Aliannejadi, Fabio Crestani

Towards Two-Stage Counterfactual Learning to Rank
Shashank Gupta, Yiming Liao, Maarten de Rijke

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
Philipp Hager, Onno Zoeter, Maarten de Rijke

Untangling Cognitive Processes in Academic Information Searching: Investigating Tool Gaps, Cognitive Load, and User Satisfaction
Ginar Santika Niwanputri, Abiye Tob-Ogu, Mahnaz Hosseinzadeh

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang

WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation?
Byungmoon Heo, Jaekwang KIM

Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval
Gabriel de Jesus, Siddharth AK Singh, Sérgio Nunes, Andrew Yates