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ICTIR 2025: Padua, Italy
- Hamed Zamani, Laura Dietz, Benjamin Piwowarski, Sebastian Bruch:

Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025. ACM 2025, ISBN 979-8-4007-1861-8
Oral Presentations
- Tommy Mordo

, Itamar Reinman
, Moshe Tennenholtz, Oren Kurland:
Ameliorating the Herding Effect Driven by Search Engines using Diversity-Based Ranking. 1-11 - David La Barbera

, Riccardo Lunardi
, Mengdie Zhuang
, Kevin Roitero
:
Impersonating the Crowd: Evaluating LLMs' Ability to Replicate Human Judgment in Misinformation Assessment. 12-21 - Jonas Wallat

, Maria Heuss
, Maarten de Rijke
, Avishek Anand:
Correctness is not Faithfulness in Retrieval Augmented Generation Attributions. 22-32 - To Eun Kim

, Fernando Diaz:
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation. 33-43 - Jingwei Kang

, Maarten de Rijke
, Santiago de Leon-Martinez
, Harrie Oosterhuis
:
Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models. 44-55 - Maryam Mousavian

, Zahra Abbasiantaeb
, Mohammad Aliannejadi
, Fabio Crestani
:
Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement. 56-66 - Jan Heinrich Merker

, Maik Fröbe
, Benno Stein
, Martin Potthast
, Matthias Hagen
:
Axioms for Retrieval-Augmented Generation. 67-77 - 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
:
Preaching to the ChoIR: Lessons IR Should Share with AI. 78-91
Poster Session
- Leila Tavakoli

, Hamed Zamani
:
Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications. 92-102 - Filippo Betello, Matteo Russo

, Paul Dütting, Stefano Leonardi
, Fabrizio Silvestri
:
QPP-RA: Aggregating Large Language Model Rankings. 103-114 - Loc Tan Nguyen

, Tin T. Tran
:
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems. 115-124 - Nathaniel W. Rollings, Douglas W. Oard:

Characterizing Mosaicing Inference Risk: A Preliminary Study. 125-135 - Jinming Nian

, Zhiyuan Peng
, Qifan Wang
, Yi Fang:
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. 136-146 - Giulio D'Erasmo

, Giovanni Trappolini
, Fabrizio Silvestri
, Nicola Tonellotto
:
Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. 147-154 - Alina Asisof

:
Retrieving Under Uncertainty: Towards a Chatbot Uncertainty Taxonomy (CUT) for Information Retrieval. 155-166 - Alistair Moffat

:
Handling Ties in Rank-Biased Measurement: Two Complementary Views. 167-176 - Shashank Gupta, Yiming Liao, Maarten de Rijke

:
Towards Two-Stage Counterfactual Learning to Rank. 177-182 - Alireza Salemi

, Hamed Zamani
:
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization. 183-193 - Michael Soprano

, Sandip Modha
, Kevin Roitero
, Eddy Maddalena, Marco Viviani
, Gabriella Pasi, Stefano Mizzaro
:
AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews. 194-207 - Evgeny Dedov:

JointRank: Rank Large Set with Single Pass. 208-217 - Laura Dietz

, Oleg Zendel
, Peter Bailey, Charles L. A. Clarke
, Ellese Cotterill
, Jeff Dalton
, Faegheh Hasibi
, Mark Sanderson
, Nick Craswell
:
Principles and Guidelines for the Use of LLM Judges. 218-229 - Bryan Amador

, Richard Zanibbi
:
Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic Embeddings. 230-237 - Sha Li

, Naren Ramakrishnan:
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation. 238-253 - Naghmeh Farzi, Laura Dietz

:
Criteria-Based LLM Relevance Judgments. 254-263 - Gabriel de Jesus

, Siddharth A. K. Singh
, Sérgio Nunes
, Andrew Yates:
Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval. 264-274 - Lukas Gienapp

, Niklas Deckers, Martin Potthast
, Harrisen Scells
:
Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins. 275-285 - Alireza Salemi

, Hamed Zamani
:
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models. 286-296 - Gabriel de Jesus

, Sérgio Nunes
:
Insights into LLM-Based Conversational Search: A Study of Tetun-Speaking Users' Search Behavior. 297-306 - Francesca Pezzuti

, Sean MacAvaney, Nicola Tonellotto
:
Neural Prioritisation for Web Crawling. 307-314 - Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah:

Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization. 315-325 - Gabriel Iturra-Bocaz

, Danny Vo
, Petra Galuscáková
:
Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models. 326-335 - Tanya Chowdhury, Atharva Nijasure, James Allan

:
Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval. 336-346 - Philipp Hager

, Onno Zoeter, Maarten de Rijke
:
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank. 347-357 - Shivani Upadhyay

, Ronak Pradeep, Nandan Thakur
, Daniel Campos, Nick Craswell
, Ian Soboroff, Jimmy Lin
:
A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA. 358-368 - Alexandru Dumitru, Venktesh V

, Adam Jatowt, Avishek Anand:
Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. 369-379 - Hiroshi Wayama

, Kazunari Sugiyama
:
Generalized Personalized PageRank with Graph Convolutional Networks in Recommender Systems. 380-389 - Marwah Alaofi

, Nicola Ferro
, Paul Thomas
, Falk Scholer
, Mark Sanderson
:
Demographically-Inspired Query Variants Using an LLM. 390-400 - Jonathan Donnelly, Adam Roegiest

:
Exploring the Utility of Embedding Similarity for Contract Tasks. 401-409 - Idan Pogrebinsky

, David Carmel
, Oren Kurland:
Enhancing Retrieval-Augmented Generation for Text Completion Through Query Selection. 410-415 - Ricardo Marçal de Andrade Nascimento

, Daniel Xavier de Sousa, Guglielmo Faggioli
, Paulo José Lage Alvarenga
, Nicola Ferro
, Marcos André Gonçalves:
A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis. 416-429 - Chris Samarinas, Hamed Zamani

:
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking. 430-435 - Xingyu Deng

, Xi Wang
, Mark Stevenson
:
The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers. 436-448 - Ginar Santika Niwanputri

, Abiye Tob-Ogu
, Mahnaz Hosseinzadeh
:
Untangling Cognitive Processes in Academic Information Searching: Investigating Tool Gaps, Cognitive Load, and User Satisfaction. 449-458 - Georgios Koutroumpas

, Sebastian Idesis, Mireia Masias Bruns
, Carlos Segura, Joemon M. Jose
, Sergi Abadal
, Ioannis Arapakis:
Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories. 459-469 - Prachi

, Sumit Bhatia, Srikanta Bedathur
:
Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations. 470-477 - Marjan Azimi

, Alistair Moffat
, Justin Zobel
:
Expert Finding Revisited: A Uniform Exploration of Methods. 478-487 - Xiao Fu

, Navdeep Singh Bedi
, Fabio Crestani
, Aldo Lipani
:
Normalized Set-Level Ideal DCG: A More Reliable Early-Stage Retrieval Metric. 488-496 - Byungmoon Heo

, Jaekwang Kim
:
WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation? 497-502 - Xiao Fu

, Aldo Lipani
, Noriko Kando
:
Modelling and Predicting User Actions in Conversational Information Retrieval. 503-512 - Quentin Signé

, Mohand Boughanem
, José G. Moreno, Thiziri Belkacem:
A Substring Extraction-Based RAG Method for Minimising Hallucinations in Aircraft Maintenance Question Answering. 513-521

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