{"id":177,"date":"2025-06-11T11:02:39","date_gmt":"2025-06-11T15:02:39","guid":{"rendered":"https:\/\/ictir2025.cs.umass.edu\/?page_id=177"},"modified":"2025-07-18T13:22:04","modified_gmt":"2025-07-18T17:22:04","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/ictir2025.cs.umass.edu\/?page_id=177","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n

Proceedings:<\/strong> https:\/\/dl.acm.org\/doi\/proceedings\/10.1145\/3731120<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

The following papers are accepted at ICTIR 2025 and displayed in alphabetical order.<\/h3>\n\n\n\n

A Robusteness Assessment of Query Performance Prediction (QPP) Methods based on Risk-Sensitive Analysis
<\/strong>Ricardo Mar\u00e7al de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo Jos\u00e9 Lage Alvarenga, Nicola Ferro, Marcos Andr\u00e9 Gon\u00e7alves<\/em><\/p>\n\n\n\n

A Substring Extraction-Based RAG Method for Minimising Hallucinations in Aircraft Maintenance Question Answering<\/strong>
Quentin SIGN\u00c9, Mohand Boughanem, Jose G Moreno, Thiziri Belkacem<\/em><\/p>\n\n\n\n

AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews<\/strong>
Michael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani, Gabriella Pasi, Stefano Mizzaro<\/em><\/p>\n\n\n\n

Ameliorating the Herding Effect Driven by Search Engines using Diversity-Based Ranking<\/strong>
Tommy Mordo, Itamar Reinman, Moshe Tennenholtz, Oren Kurland<\/em><\/p>\n\n\n\n

An Exploration of Attempts to Automate Relevance Assessments with Large Language Models<\/strong>
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel F Campos, Nick Craswell, Ian Soboroff, Jimmy Lin<\/em><\/p>\n\n\n\n

Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations<\/strong>
Prachi, Sumit Bhatia, Srikanta Bedathur<\/em><\/p>\n\n\n\n

[Best Paper Honorable Mention] <\/em>Axioms for Retrieval-Augmented Generation
<\/strong>Jan Heinrich Merker, Maik Fr\u00f6be, Benno Stein, Martin Potthast, Matthias Hagen<\/em><\/p>\n\n\n\n

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

Characterizing Mosaicing Inference Risk: A Preliminary Study<\/strong>
Nathaniel Rollings, Douglas W. Oard<\/em><\/p>\n\n\n\n

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models<\/strong>
Alireza Salemi, Hamed Zamani<\/em><\/p>\n\n\n\n

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
<\/strong>To Eun Kim, Fernando Diaz<\/em><\/p>\n\n\n\n

[Best Paper Honorable Mention]<\/em> Correctness is not Faithfulness in Retrieval Augmented Generation Attributions
<\/strong>Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand<\/em><\/p>\n\n\n\n

Criteria-Based LLM Relevance Judgments<\/strong>
Naghmeh Farzi, Laura Dietz<\/em><\/p>\n\n\n\n

Deeper Than the Pool: Are Language Models Really Suited for Completion of Unlabeled Query\u2013Document Judgments ?<\/strong>
Saber Zahhar, Nazim Kazar, Alexandre DAHAN<\/em><\/p>\n\n\n\n

Demographically-Inspired Query Variants Using an LLM<\/strong>
Marwah Alaofi, Nicola Ferro, Paul Thomas, Falk Scholer, Mark Sanderson<\/em><\/p>\n\n\n\n

Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking<\/strong>
Chris Samarinas, Hamed Zamani<\/em><\/p>\n\n\n\n

Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval<\/strong>
Giulio D’Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto<\/em><\/p>\n\n\n\n

Enhancing Retrieval-Augmented Generation for Text Completion Through Query Selection<\/strong>
Idan Pogrebinsky, David Carmel, Oren Kurland<\/em><\/p>\n\n\n\n

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models<\/strong>
Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand<\/em><\/p>\n\n\n\n

Expert Finding Revisited: A Uniform Exploration of Methods<\/strong>
Marjan Azimi, Alistair Moffat, Justin Zobel<\/em><\/p>\n\n\n\n

Exploring the Utility of Embedding Similarity for Contract Tasks<\/strong>
Jonathan Donnelly, Adam Roegiest<\/em><\/p>\n\n\n\n

Generalized Personalized PageRank with Graph Convolutional Networks in Recommender Systems<\/strong>
Hiroshi Wayama, Kazunari Sugiyama<\/em><\/p>\n\n\n\n

Handling Ties in Rank-Biased Measurement: Two Complementary Views<\/strong>
Alistair Moffat<\/em><\/p>\n\n\n\n

Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models<\/strong>
Gabriel Iturra-Bocaz, Danny Vo, Petra Galuscakova<\/em><\/p>\n\n\n\n

[Best Paper Award] <\/em>Impersonating the Crowd: Evaluating LLMs’ Ability to Replicate Human Judgment in Misinformation Assessment
<\/strong>David La Barbera, Riccardo Lunardi, Mengdie Zhuang, Kevin Roitero<\/em><\/p>\n\n\n\n

Insights into LLM-Based Conversational Search: A Study of Tetun-Speaking Users’ Search Behavior<\/strong>
Gabriel de Jesus, S\u00e9rgio Nunes<\/em><\/p>\n\n\n\n

JointRanker: Rank large set with single pass<\/strong>
Evgeny Dedov<\/em><\/p>\n\n\n\n

Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins<\/strong>
Lukas Gienapp, Niklas Deckers, Martin Potthast, Harrisen Scells<\/em><\/p>\n\n\n\n

Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization<\/strong>
Alireza Salemi, Hamed Zamani<\/em><\/p>\n\n\n\n

Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic Embeddings<\/strong>
Bryan Amador, Richard Zanibbi<\/em><\/p>\n\n\n\n

Modelling and Predicting User Actions in Conversational Information Retrieval<\/strong>
Xiao Fu, Aldo Lipani, Noriko Kando<\/em><\/p>\n\n\n\n

Neural Prioritisation for Web Crawling<\/strong>
Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto<\/em><\/p>\n\n\n\n

Normalized Set-Level Ideal DCG: A More Reliable Early-Stage Retrieval Metric<\/strong>
Xiao Fu, Navdeep Singh Bedi, Fabio Crestani, Aldo Lipani<\/em><\/p>\n\n\n\n

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation<\/strong>
Sha Li, Naren Ramakrishnan<\/em><\/p>\n\n\n\n

Preaching to the ChoIR: Lessons IR Should Share with AI<\/strong>
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<\/em><\/p>\n\n\n\n

Principles and Guidelines for the Use of LLM Judges<\/strong>
Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, Nick Craswell<\/em><\/p>\n\n\n\n

Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval<\/strong>
Tanya Chowdhury, Atharva Nijasure, James Allan<\/em><\/p>\n\n\n\n

QPP-RA: Aggregating Large Language Model Rankings<\/strong>
Filippo Betello, Matteo Russo, Paul Duetting, Stefano Leonardi, Fabrizio Silvestri<\/em><\/p>\n\n\n\n

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications<\/strong>
Leila Tavakoli, Hamed Zamani<\/em><\/p>\n\n\n\n

Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization<\/strong>
Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah<\/em><\/p>\n\n\n\n

[Best Paper Honorable Mention]<\/em> Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models
<\/strong>Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis<\/em><\/p>\n\n\n\n

Retrieving Under Uncertainty: Towards a Chatbot Uncertainty Taxonomy (CUT) for Information Retrieval<\/strong>
Alina Asisof<\/em><\/p>\n\n\n\n

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems<\/strong>
Tan Loc Nguyen, Tin T. Tran<\/em><\/p>\n\n\n\n

The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers<\/strong>
Xingyu Deng, Xi Wang, Mark Stevenson<\/em><\/p>\n\n\n\n

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement<\/strong>
Maryam Mousavian, Zahra Abbasiantaeb, Mohammad Aliannejadi, Fabio Crestani<\/em><\/p>\n\n\n\n

Towards Two-Stage Counterfactual Learning to Rank<\/strong>
Shashank Gupta, Yiming Liao, Maarten de Rijke<\/em><\/p>\n\n\n\n

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank<\/strong>
Philipp Hager, Onno Zoeter, Maarten de Rijke<\/em><\/p>\n\n\n\n

Untangling Cognitive Processes in Academic Information Searching: Investigating Tool Gaps, Cognitive Load, and User Satisfaction<\/strong>
Ginar Santika Niwanputri, Abiye Tob-Ogu, Mahnaz Hosseinzadeh<\/em><\/p>\n\n\n\n

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering<\/strong>
Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang<\/em><\/p>\n\n\n\n

WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation?<\/strong>
Byungmoon Heo, Jaekwang KIM<\/em><\/p>\n\n\n\n

Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval<\/strong>
Gabriel de Jesus, Siddharth AK Singh, S\u00e9rgio Nunes, Andrew Yates<\/em><\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Proceedings: https:\/\/dl.acm.org\/doi\/proceedings\/10.1145\/3731120 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 AnalysisRicardo Mar\u00e7al de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo Jos\u00e9 Lage Alvarenga, Nicola Ferro, Marcos Andr\u00e9 Gon\u00e7alves A Substring Extraction-Based RAG Method for Minimising Hallucinations […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-no-title","meta":{"footnotes":""},"class_list":["post-177","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/pages\/177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=177"}],"version-history":[{"count":9,"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/pages\/177\/revisions"}],"predecessor-version":[{"id":215,"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=\/wp\/v2\/pages\/177\/revisions\/215"}],"wp:attachment":[{"href":"https:\/\/ictir2025.cs.umass.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}