Table of Contents

• Ameliorating the Herding Effect Driven by Search Engines using Diversity-Based RankingTommy Mordo, Itamar Reinman, Moshe Tennenholtz, Oren Kurland. 1-11 [doi]
• Impersonating the Crowd: Evaluating LLMs' Ability to Replicate Human Judgment in Misinformation AssessmentDavid La Barbera, Riccardo Lunardi, Mengdie Zhuang, Kevin Roitero. 12-21 [doi]
• Correctness is not Faithfulness in Retrieval Augmented Generation AttributionsJonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand. 22-32 [doi]
• Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented GenerationTo Eun Kim, Fernando Diaz 0001. 33-43 [doi]
• Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click ModelsJingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis. 44-55 [doi]
• Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and MeasurementMaryam Mousavian, Zahra Abbasiantaeb, Mohammad Aliannejadi, Fabio Crestani. 56-66 [doi]
• Axioms for Retrieval-Augmented GenerationJan Heinrich Merker, Maik Fröbe, Benno Stein 0001, Martin Potthast, Matthias Hagen. 67-77 [doi]
• Preaching to the ChoIR: Lessons IR Should Share with AIGianluca Demartini, Claudia Hauff, Matthew Lease, Stefano Mizzaro, Kevin Roitero, Mark Sanderson, Falk Scholer, Chirag Shah 0001, Damiano Spina, Paul Thomas 0001, Arjen P. de Vries, Guido Zuccon. 78-91 [doi]
• Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search ClarificationsLeila Tavakoli, Hamed Zamani. 92-102 [doi]
• QPP-RA: Aggregating Large Language Model RankingsFilippo Betello, Matteo Russo 0002, Paul Dütting, Stefano Leonardi 0001, Fabrizio Silvestri. 103-114 [doi]
• SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender SystemsLoc Tan Nguyen, Tin T. Tran. 115-124 [doi]
• Characterizing Mosaicing Inference Risk: A Preliminary StudyNathaniel W. Rollings, Douglas W. Oard. 125-135 [doi]
• W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question AnsweringJinming Nian, Zhiyuan Peng 0001, Qifan Wang 0001, Yi Fang 0008. 136-146 [doi]
• Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense RetrievalGiulio D'Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto. 147-154 [doi]
• Retrieving Under Uncertainty: Towards a Chatbot Uncertainty Taxonomy (CUT) for Information RetrievalAlina Asisof. 155-166 [doi]
• Handling Ties in Rank-Biased Measurement: Two Complementary ViewsAlistair Moffat. 167-176 [doi]
• Towards Two-Stage Counterfactual Learning to RankShashank Gupta 0001, Yiming Liao, Maarten de Rijke. 177-182 [doi]
• Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility MaximizationAlireza Salemi, Hamed Zamani. 183-193 [doi]
• AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping ReviewsMichael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani 0001, Gabriella Pasi, Stefano Mizzaro. 194-207 [doi]
• JointRank: Rank Large Set with Single PassEvgeny Dedov. 208-217 [doi]
• Principles and Guidelines for the Use of LLM JudgesLaura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton 0001, Faegheh Hasibi, Mark Sanderson, Nick Craswell. 218-229 [doi]
• Math Formula Graph Retrieval Using Contrastive Learning Over Visual and Semantic EmbeddingsBryan Amador, Richard Zanibbi. 230-237 [doi]
• Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented GenerationSha Li, Naren Ramakrishnan. 238-253 [doi]
• Criteria-Based LLM Relevance JudgmentsNaghmeh Farzi, Laura Dietz. 254-263 [doi]
• Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text RetrievalGabriel de Jesus, Siddharth A. K. Singh, Sérgio Nunes 0001, Andrew Yates. 264-274 [doi]
• Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance MarginsLukas Gienapp, Niklas Deckers, Martin Potthast, Harrisen Scells. 275-285 [doi]
• Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language ModelsAlireza Salemi, Hamed Zamani. 286-296 [doi]
• Insights into LLM-Based Conversational Search: A Study of Tetun-Speaking Users' Search BehaviorGabriel de Jesus, Sérgio Nunes 0001. 297-306 [doi]
• Neural Prioritisation for Web CrawlingFrancesca Pezzuti, Sean MacAvaney, Nicola Tonellotto. 307-314 [doi]
• Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences OptimizationMaryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah 0001. 315-325 [doi]
• Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking ModelsGabriel Iturra-Bocaz, Danny Vo, Petra Galuscáková. 326-335 [doi]
• Probing Ranking LLMs: A Mechanistic Analysis for Information RetrievalTanya Chowdhury, Atharva Nijasure, James Allan. 336-346 [doi]
• Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to RankPhilipp Hager, Onno Zoeter, Maarten de Rijke. 347-357 [doi]
• A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELAShivani Upadhyay, Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Jimmy Lin. 358-368 [doi]
• Evaluating List Construction and Temporal Understanding capabilities of Large Language ModelsAlexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand. 369-379 [doi]
• Generalized Personalized PageRank with Graph Convolutional Networks in Recommender SystemsHiroshi Wayama, Kazunari Sugiyama. 380-389 [doi]
• Demographically-Inspired Query Variants Using an LLMMarwah Alaofi, Nicola Ferro 0001, Paul Thomas 0001, Falk Scholer, Mark Sanderson. 390-400 [doi]
• Exploring the Utility of Embedding Similarity for Contract TasksJonathan Donnelly, Adam Roegiest. 401-409 [doi]
• Enhancing Retrieval-Augmented Generation for Text Completion Through Query SelectionIdan Pogrebinsky, David Carmel, Oren Kurland. 410-415 [doi]
• A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive AnalysisRicardo Marçal de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo José Lage Alvarenga, Nicola Ferro 0001, Marcos André Gonçalves. 416-429 [doi]
• Distillation and Refinement of Reasoning in Small Language Models for Document Re-rankingChris Samarinas, Hamed Zamani. 430-435 [doi]
• The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic PapersXingyu Deng, Xi Wang 0012, Mark Stevenson 0001. 436-448 [doi]
• Untangling Cognitive Processes in Academic Information Searching: Investigating Tool Gaps, Cognitive Load, and User SatisfactionGinar Santika Niwanputri, Abiye Tob-Ogu, Mahnaz Hosseinzadeh. 449-458 [doi]
• Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation CategoriesGeorgios Koutroumpas, Sebastian Idesis, Mireia Masias Bruns, Carlos Segura, Joemon M. Jose, Sergi Abadal, Ioannis Arapakis. 459-469 [doi]
• Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled RepresentationsPrachi, Sumit Bhatia, Srikanta Bedathur. 470-477 [doi]
• Expert Finding Revisited: A Uniform Exploration of MethodsMarjan Azimi, Alistair Moffat, Justin Zobel. 478-487 [doi]
• Normalized Set-Level Ideal DCG: A More Reliable Early-Stage Retrieval MetricXiao Fu 0007, Navdeep Singh Bedi, Fabio Crestani, Aldo Lipani. 488-496 [doi]
• WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation?Byungmoon Heo, Jaekwang Kim 0001. 497-502 [doi]
• Modelling and Predicting User Actions in Conversational Information RetrievalXiao Fu 0007, Aldo Lipani, Noriko Kando. 503-512 [doi]
• A Substring Extraction-Based RAG Method for Minimising Hallucinations in Aircraft Maintenance Question AnsweringQuentin Signé, Mohand Boughanem, José G. Moreno 0001, Thiziri Belkacem. 513-521 [doi]