| Event-aware Video Corpus Moment Retrieval Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen and Xueqi Cheng |
| Filtering Few-Level Segment Regions for Efficient Subsequence Search in 3D Human Motions Andrej Černek and Jan Sedmidubsky |
| Contradictions in Context: Challenges for Retrieval-Augmented Generation in Healthcare Saeedeh Javadi, Sara Mirabi, Manan Gangar and Bahadorreza Ofoghi |
| Scalable Music Cover Retrieval Using Lyrics-Aligned Audio Embeddings Joanne Affolter, Benjamin Martin, Elena V. Epure, Gabriel Meseguer-Brocal and Frédéric Kaplan |
| Starbucks: Improved Training for 2D Matryoshka Embeddings Shengyao Zhuang, Shuai Wang, Fabio Zheng, Bevan Koopman and Guido Zuccon |
| Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval William Xion and Wolfgang Nejdl |
| OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning Mohanna Hoveyda, Jelle Piepenbrock, Arjen de Vries, Maarten de Rijke and Faegheh Hasibi |
| Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate Charles Moslonka, Hicham Randrianarivo, Arthur Garnier and Emmanuel Malherbe |
| LLM-based Listwise Reranking under the Effect of Positional Bias Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas and Andrew Yates |
| RerAnchor: Anchoring Important Context in Multi-Modal Document Reranking Tz-Huan Hsu, Sian-Yao Huang, Kuanlun Liao, Che-Yu Lin and Cheng-Lin Yang |
| Sample-Free Almost-Exact Estimation of Plackett-Luce Propensities for Off-Policy Ranking Norman Knyazev and Harrie Oosterhuis |
| Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models Mikel Williams-Lekuona and Georgina Cosma |
| Small Models, Big Picture! A Language Model Augmentation for Enhanced Reader-Aware Summarization Raghvendra Kumar, A S Poornash and Sriparna Saha |
| From Comments to Conclusions: Adaptive Reader-Aware Summary Generation in Low-Resource Languages via Agent Debate Raghvendra Kumar, Mohammed Salman S A, Jaya Verma and Sriparna Saha |
| How role-play shapes relevance judgment in zero-shot LLM rankers Yumeng Wang, Jirui Qi, Catherine Chen, Panagiotis Eustratiadis and Suzan Verberne |
| Validating Search Query Simulations: A Taxonomy of Measures Andreas Konstantin Kruff, Nolwenn Bernard and Philipp Schaer |
| Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference Cornelius Kummer, Lena Jurkschat, Michael Färber and Sahar Vahdati |
| FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG Maxime Dassen, Rebecca Kotula, Kenton Murray, Andrew Yates, Dawn Lawrie, Efsun Kayi, James Mayfield and Kevin Duh |
| Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias Mahdi Dehghan and Graham McDonald |
| Utilizing Metadata for Better Retrieval-Augmented Generation Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer and Naren Ramakrishnan |
| Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Wang Yu, Huawei Shen, Xueqi Cheng and Yuanzhuo Wang |
| ExpertMix: Aspect and Severity Detection in Conversational Complaints Sarmistha Das, Apoorva Singh, Rishu Kumar Singh, Navneet Shreya and Sriparna Saha |
| SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs Nitish Kumar, Sannu Kumar, S Akash, Manish Gupta, Ankith Karat and Sriparna Saha |
| Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation Fangzheng Tian, Debasis Ganguly and Craig Macdonald |
| Open Web Indexes for Remote Querying Gijs Hendriksen, Djoerd Hiemstra and Arjen P. de Vries |
| From What to Why: Thought-Space Recommendation with Small Language Models Prosenjit Biswas, Pervez Shaik, Abhinav Thorat, Ravi Kolla and Niranjan Pedanekar |
| Reducing Human Effort to Validate LLM Relevance Judgements via Stratified Sampling Simone Merlo, Stefano Marchesin, Guglielmo Faggioli and Nicola Ferro |
| Post-Training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation Ervin Dervishaj, Maria Maistro, Tuukka Ruotsalo and Christina Lioma |
| Revealing MonoT5's Learning Mechanisms via Prompt-Token Adaptation Marco Braga, Sean MacAvaney, Craig Macdonald and Gabriella Pasi |
| When Reducing Representations Improves Performance Andrea Pasin, Guglielmo Faggioli, Nicola Ferro, Raffaele Perego and Nicola Tonellotto |
| Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio Niall McGuire and Yashar Moshfeghi |
| Bribery-Resistant Ranking Systems: A Multipartite User-Agnostic Framework for AI Act Compliance Martim Baltazar, Ludovico Boratto, Mirko Marras and Guilherme Ramos |
| An Empirical Study of Model Casing in Learned Sparse Retrieval Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney and Andrew Yates |
| Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs Yuxi Xia, Loris Schoenegger and Benjamin Roth |
| PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation Dang Kieu, Delvin Ce Zhang, Minh-Duc Nguyen, Qiang Wu, Min Xu and Dung D. Le |
| LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG Manish Chandra, Debasis Ganguly and Iadh Ounis |
| Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets Laura Dietz, Bryan Li, Eugene Yang, Dawn Lawrie, William Walden and James Mayfield |
| Less LLM, More Documents: Searching for Improved RAG Jingjie Ning, Yibo Kong, Yunfan Long and Jamie Callan |
| RAC: Retrieval-Augmented Clarification for Faithful Conversational Search Ahmed Rayane Kebir, Vincent Guigue, Lynda Said Lhadj and Laure Soulier |
| Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani and Aldo Lipani |
| Improving Instruction-Aware Retrieval with Query-Preserving Regularization Hyewon Kim and Hyun-Je Song |
| LANCER: LLM Reranking for Nugget Coverage Jia-Huei Ju, François G. Landry, Eugene Yang, Suzan Verberne and Andrew Yates |
| Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking Chuang Li, Yang Deng, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan and Haizhou Li |
| Website Segmentation Beyond Structure: A Benchmark on Functional and Digital Maturity Classes Jonathan Gerber, Jasmin Saxer, Andreas Weiler and Michael Grossniklaus |
| MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Retrieval and Invocation in LLM Agent Multi-Turn Conversations Elias Lumer |
| Learning Audio–Visual Embeddings with Inferred Latent Interaction Graphs Donghuo Zeng, Hao Niu, Yanan Wang and Masato Taya |
| Measuring Individual User Fairness with User Similarity and Effectiveness Disparity Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo and Christina Lioma |
| Nested Named Entity Recognition in Plasma Physics Research Articles Muhammad Haris, Hans Höft, Markus Becker and Markus Stocker |
| Exploring User Simulators in Conversational Search: A Comparison between LLMs and Humans Lili Lu and Fabio Crestani |
| Query Harmfulness Prediction (QHP): a New Challenge for Safer Retrieval Systems Xiana Carrera, Marcos Fernández-Pichel and David E. Losada |
| The Effect of Document Summarization on LLM-based Relevance Judgments Samaneh Mohtadi, Kevin Roitero, Stefano Mizzaro and Gianluca Demartini |
| Query–Document Dense Vectors for LLM Relevance Judgment Bias Analysis Samaneh Mohtadi and Gianluca Demartini |
| Stop Contrasting, Start Distilling: Cross-Encoder Listwise Distillation and Synthetic Data for Dense Retrieval Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh and Jimmy Lin |
| Let Me Explain - Knowledge-based Retrieval Augmented Generation for Agricultural Recommendation Explanations Daan Di Scala and Maaike de Boer |
| From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs Angelina Parfenova, David Graus and Juergen Pfeffer |
| Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework Payel Santra, Partha Basuchowdhuri and Debasis Ganguly |
| Multi-Step Semantic Reasoning in Generative Retrieval Steven Dong, Yubao Tang and Maarten de Rijke |
| SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval Ruyin Li and Xiaoyu Chen |
| On the Viability of Exploiting Large Language Models for Misinformation Annotation Pablo Landrove, Marcos Fernandez-Pichel and David E. Losada |
| Incorporating Q&A Nuggets into Retrieval-Augmented Generation Laura Dietz, Bryan Li, Gabrielle Liu, Jia-Huei Ju, Eugene Yang, Dawn Lawrie, William Walden and James Mayfield |
| Evolving Mixture of Low-Rank Experts for Continual User Modeling Jeevan Thapa, Sinan Zhao and Koyoshi Shindo |
| Personalized Autocompletion of Interactions with LLM-based Chatbots Shani Goren, Nachshon Cohen, Oren Kalinsky, Tomer Stav, Yaron Fairstein, Yuri Rapoport, Ram Yazdi, Alex Libov and Guy Kushilevitz |
| Evaluating Large Language Models as Domain-Specific Retrieval Agents: A Study on Cybersecurity Challenge Benchmarks Omed Abed, Md. Samiul Haque, Patrick-Benjamin Bök and Matteo Große-Kampmann |
| Large Language Models as Assessors: On the Impact of Relevance Scales Riccardo Zamolo, Riccardo Lunardi, Michael Soprano, Gianluca Demartini, Stefano Mizzaro and Kevin Roitero |
| Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science Gaia Simeoni, Michael Soprano, Riccardo Lunardi, Kevin Roitero and Stefano Mizzaro |
| Evaluating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries Gabrielle Liu, Bryan Li, Arman Cohan, William Walden and Eugene Yang |
| DARE: A Dialectical Framework for Adversarial and Evidence-Aware RAG Saisab Sadhu, Dwaipayan Roy and Tannay Basu |
| Do We Still Need Text for Video Retrieval in the Era of Vision-Language Models? Jiaqi Zhan, Xinyu Zhang, Shengyao Zhuang, Xueguang Ma and Jimmy Lin |
| Query Performance Prediction using a Child-focused Definition of Relevance Hrishita Chakrabarti and Maria Soledad Pera |
| ReFormeR: Learning and Applying Explicit Query Reformulation Patterns Amin Bigdeli, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke and Ebrahim Bagheri |
| One Word is Enough: Minimal Adversarial Perturbations for Neural Text Ranking Tanmay Karmakar, Sourav Saha, Debapriyo Majumdar and Surjyanee Halder |
| Text vs. Speech? Detecting Audio Deepfakes on Instagram Karla Schäfer |
| MiNER: A Two-Stage Pipeline for Metadata Extraction from Municipal Meeting Minutes Rodrigo Batista, Filipe Cunha, Purificação Silvano, Nuno Guimarães, Alípio Jorge, Evelin Amorim and Ricardo Campos |
| Revisiting Human-vs-LLM judgments on the TREC Podcast Track Watheq Mansour, J. Shane Culpepper, Joel Mackenzie and Andrew Yates |
| Forward Index Compression for Learned Sparse Retrieval Sebastian Bruch, Martino Fontana, Franco Maria Nardini, Cosimo Rulli and Rossano Venturini |
| LLM-Assisted Pseudo-Relevance Feedback David Otero and Javier Parapar |
| Adversarial Edge Perturbation Framework in Graph-based Retrieval Amir Khosrojerdi, Radin Hamidi Rad and Ebrahim Bagheri |
| Zero-Cost Multilingual Context Pruning for Retrieval-augmented Generation Youssef Mohamed, Mohamed Elhoseiny, Thibault Formal and Nadezhda Chirkova |
| EmbMerge: A Transformer-based Method for Fusing CDR Lists Mehmet Erdeniz Aydoğdu, Yağmur Duru Tüfekçioğlu, Ismail Sengor Altingovde, Pinar Karagoz and Ismail Hakki Toroslu |
| Enhancing Attention-based Context Attribution via Token Selection and Think-Twice Mechanism Tz-Huan Hsu, Sian-Yao Huang, Che-Yu Lin and Cheng-Lin Yang |
| Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin and Jiaxin Mao |
| Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov, Anton Klenitskiy, Artem Fatkulin, Alexey Vasilev, Andrey Savchenko and Ilya Makarov |
| Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction Payel Santra, Partha Basuchowdhuri and Debasis Ganguly |
| Trust Me on This: A User Study of Explainability for AI-Generated Responses Weronika Łajewska and Krisztian Balog |
| Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction Debashish Chakraborty, Eugene Yang, Daniel Khashabi, Dawn Lawrie and Kevin Duh |
| Structure-aware Pre-Retrieval Performance Prediction on Query Affinity Graphs Abbas Saleminezhad, Negar Arabzadeh, Seyed Mohammad Hosseini, Soosan Beheshti and Ebrahim Bagheri |
| Controlling Gender Bias in Retrieval via a Backpack Architecture Amirabbas Afzali, Amirreza Velae, Iman Ahmadi and Mohammad Aliannejadi |
| Knowledge-enhanced Multi-Agent for LLM-based Recommendation Zeyuan Meng, Zixuan Yi and Iadh Ounis |
| From Single to Multi-Agent Reasoning: Advancing GeneGPT for Genomics QA Kimia Abedini, Farzad Shami and Gianmaria Silvello |
| Aligning Instruction-Tuned LLMs for Event Extraction with Multi-objective Reinforcement Learning Omar Adjali, Siting Liang, Omair Shahzad Bhatti and Daniel Sonntag |
| Topological Metric for Unsupervised Embedding Quality Evaluation Aleksei Shestov, Anton Klenitskiy, Daria Denisova, Amurkhan Dzagkoev, Daniil Petrovich, Andrey Savchenko and Maksim Makarenko |
| Generative Retrieval via Few-shot Indexing Arian Askari, Chuan Meng, Mohammad Aliannejadi, Zhaochun Ren, Evangelos Kanoulas and Suzan Verberne |
| Correct but Incomplete: Why Chain-of-Thought Cannot Currently Support Auditable Reasoning Edward Richards, Javier Sanz-Cruzado and Richard McCreadie |
| OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation Lukas Wegmeth, Moritz Baumgart, Philipp Meister, Bela Gipp and Joeran Beel |
| GutBrainKB: Exploring the Gut–Brain Interaction through a Reliable Biomedical KB Ornella Irrera, Marco Martinelli, Samuel Piron and Gianmaria Silvello |
| CancerRAGent: Evidence-Linked and Safety-Guided Oncology Question Answering Trung Vo, An Trieu, Vu Tran, Yuji Matsumoto and Le-Minh Nguyen |
| Talmud-IR: A Talmud-Inspired Interface for Discussing RAG Response Quality Wojciech Kusa, Niklas Deckers, Maik Fröbe, Laura Dietz, Birte Platow and Mark Sanderson |
| Enhancing Job Search Effectiveness with LLM-Powered Context-Aware Query Reformulation Quang Hieu Vu, Behnaz Nojavanasghari, Frank Yang and Andrew Rabinovich |
| Pipeline Inspection, Visualization, and Interoperability in PyTerrier Emmanouil Georgios Lionis, Craig Macdonald and Sean MacAvaney |
| ImageSeek: A Hybrid Text-to-Image Image Retrieval System for Domain-Specific Collections Rodrigo Duarte, Rodrigo Silva, António Branco, Hugo Proença and Ricardo Campos |
| LectureChat: Hybrid RAG over Wikipedia and Multilingual Lectures Markos Dimitsas and Jochen L. Leidner |
| MedNuggetizer: Confidence-Based Information Nugget Extraction from Medical Documents Gregor Donabauer, Samy Ateia, Udo Kruschwitz, Maximilian Burger, Matthias May, Christian Gilfrich, Maximilian Haas, Julio Ruben Rodas Garzaro and Christoph Eckl |
| SuiteEval: Simplifying Retrieval Benchmarks Andrew Parry, Debasis Ganguly and Sean MacAvaney |
| CitiLink: Enhancing Municipal Transparency and Citizen Engagement through Searchable Meeting Minutes Rodrigo Silva, José Evans, José Isidro, Miguel Marques, Afonso Fonseca, Ricardo Morais, João Canavilhas, Arian Pasquali, Purificação Silvano, Alípio Jorge, Nuno Guimarães, Sérgio Nunes and Ricardo Campos |
| Context Engineering for Agentic Data Science Rishiraj Saha Roy, Chris Hinze, Luzian Hahn and Fabian Kuech |
| Creating Specialized RAG-Based Search Engines Using the Open Web Index Alexander Nussbaumer, Michael Dinzinger, Sebastian Heineking, Gijs Hendriksen, Felix Holz, Saber Zerhoudi, Martin Potthast and Michael Granitzer |
| Affective Recommendation Through Physiological and Multimodal User Modeling Moamen Zaher |
| Context-Aware Ranking in Expert Finding Marjan Azimi |
| Metacognitive Multi-Agent Retrieval-Augmented Generation for Multi-Hop Reasoning Gabriel Iturra-Bocaz |
| When Semantic Similarity Fails: Analyzing Metric Divergence in Legal RAG Evaluation Eryclis Silva |
| Simulating Specific Users in Conversational Search Lili Lu |
| Next Generation Audio Retrieval Watheq Mansour |
| Enhancing Code Generation through Reliability-Aware Synthetic Contexts Susmita Das |
| Building Resilient Users: Towards Adaptive Support for Enhanced Digital Literacy in Information Access Systems Markus Bink |
| Generative Question-Answering System for identifying Experts in Academia Sarah Nouali |
| Query Text and Embedding Ambiguity Correction and Optimisation Andreas Chari |
| Speculative Retrieval-Augmented Generation for Faithful Question Answering in Aircraft Maintenance Quentin Signé |
| Understanding and Enhancing Robustness in Dense Information Retrieval Yongkang Li |
| Structured and Explainable Judicial Reasoning with LLMs Martin Borčin |
| Understanding LLM Entity Representations for Efficient and Interpretable Entity Detection Victor Morand |
| Evaluator - Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels Bevan Koopman, Hang Li, Shuai Wang and Guido Zuccon |
| A Systematic Analysis of Chunking Strategies for Reliable Agentic Question Answering Sofia Bennani and Charles Moslonka |
| Understanding Multi-Structured Documents via LLMs Shivani Upadhyay, Messiah Ataey, Syed Shariyar Murtaza, Yifan Nie and Jimmy Lin |
| Exploring Neural IR in Europeana Suhaib Basir, Mónica Marrero and Julián Urbano |
| Improving Search Suggestions for Alphanumeric Queries Samarth Agrawal, Jayanth Yetukuri, Diptesh Kanojia, Qunzhi Zhou and Zhe Wu |
| Data Augmentation with LLMs for Cold Start Recommendation in E-Commerce Natalija Glisovic, Martin Tegner and Danica Kragic |
| Display Ads Contextual Relevance Modeling with LLM Labels Chao Gan, Fan Yang, Fangping Huang, Weijie Yuan, Nahid Anwar, Musen Wen, Konstantin Shmakov, Hong Yao and Kuang-Chih Lee |
| Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application Olivier Jeunen and Schaun Wheeler |
| Iterative Reranking as a Compute-Scaling Method for LLM-based Rankers Tamara Czinczoll, Dong Liu and Filippo Betello |
| Accelerating Personalization Signal Learning via Synthetic Data Daraksha Parveen, Doug Kang, Anwitha Paruchuri, Deep Kayal and Pavan Mallapragada |
| Fast, Compact, Dynamic Indexing for Learned Sparse Retrieval Systems Billy Rule and Joel Mackenzie |
| A Systematic Reproducibility Study of BSARec for Sequential Recommendation Jan Hutter, Hua Chang Bakker, Stan Fris, Angela Madelon Bernardy and Yuanna Liu |
| Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs" Blaise Munyampirwa, Vihan Lakshman and Benjamin Coleman |
| Multi-vector Reranking in the Era of Strong First-Stage Retrievers Silvio Martinico, Franco Maria Nardini, Cosimo Rulli and Rossano Venturini |
| Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities Yu Ye, Junchen Fu, Yu Song, Kaiwen Zheng and Joemon Jose |
| Efficient Optimization of Hierarchical Identifiers for Generative Recommendation Federica Valeau, Odysseas Boufalis, Polytimi Gkotsi, Joshua Rosenthal and David Vos |
| RecRankerEval: A Reproducible Framework for Deploying and Evaluating LLM-based Top-$k$ Recommenders Zeyuan Meng, Zixuan Yi and Iadh Ounis |
| Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN Ritajit Dey, Iadh Ounis, Graham McDonald and Yashar Moshfeghi |
| A Reproducible and Fair Evaluation of Partition-aware Collaborative Filtering Domenico de Gioia, Claudio Pomo, Ludovico Boratto and Tommaso Di Noia |
| WildClaims: Conversational Information Access in the Wild(Chat) Hideaki Joko, Shakiba Amirshahi, Charles L. A. Clarke and Faegheh Hasibi |
| CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale Laura Caspari, Michael Dinzinger, Kanishka Ghosh Dastidar, Christofer Fellicious, Jelena Mitrović and Michael Granitzer |
| FaE: A Resource of Logs, Profiles, and Rankings for Academic Expert Finding Marjan Azimi, Alistair Moffat and Justin Zobel |
| GREAT: Group Recommender Evaluation and Analysis Tool Ariel Smith, David Contreras, Maria Salamo and Ludovico Boratto |
| SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation Mariam Arustashvili and Krisztian Balog |
| FoodNexus: Massive Food Knowledge for Recommender Systems Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda and Giovanni Zedda |
| pt-image-ir-dataset: An Image Retrieval Dataset in European Portuguese Rodrigo Duarte, António Branco, Hugo Proença and Ricardo Campos |
| LISP - A Rich Interaction Dataset and Loggable Interactive Search Platform Jana Isabelle Friese, Andreas Konstantin Kruff, Philipp Schaer, Norbert Fuhr and Nicola Ferro |
| UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems Nolwenn Bernard and Krisztian Balog |
| CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes Ricardo Campos, Ana Pacheco, Ana Fernandes, Inês Cantante, Rute Rebouças, Luís Filipe Cunha, José Isidro, José Pedro Evans, Miguel Marques, Rodrigo Batista, Evelin Amorim, Alípio Jorge, Nuno Guimarães, Sérgio Nunes, António Leal and Purificação Silvano |
| Evaluating the Efficiency and Effectiveness of Learned Sparse Retrieval with the lsr_benchmark Maik Fröbe, Ferdinand Schlatt, Cosimo Rulli, Tim Hagen, Jan Heinrich Merker, Gijs Hendriksen, Carlos Lassance, Franco Maria Nardini, Rossano Venturini and Martin Potthast |
| ClaimPT: A Portuguese Dataset of Annotated Claims in News Articles Ricardo Campos, Raquel Sequeira, Sara Nerea, Inês Cantante, Diogo Folques, Luís Filipe Cunha, João Canavilhas, António Branco, Alípio Jorge, Sérgio Nunes, Nuno Guimarães and Purificação Silvano |
| An Open SERP Mining Infrastructure for the Archive Query Log Jan Heinrich Merker, Simon Ruth, Harrisen Scells and Martin Potthast |
| RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation Eugene Yang, Andrew Yates, Dawn Lawrie, James Mayfield and Trevor Adriaanse |
| Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction Andreas Konstantin Kruff, Christin Katharina Kreutz, Timo Breuer, Philipp Schaer and Krisztian Balog |
| BioGraphletQA: Knowledge-Anchored Generation of Complex Question Answering Datasets Richard A. A. Jonker, Bárbara Maria Ribeiro de Abreu Martins and Sérgio Matos |
| Beyond the Click: A Framework for Inferring Cognitive Traces in Search Saber Zerhoudi and Michael Granitzer |
| Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety Muskaan Chopra, Lorenz Sparrenberg and Rafet Sifa |
| Bias in Book Recommendation: A Case Study on the Danish Public Libraries Savvina Daniil, Søren Højlund Mollerup and Laura Hollink |
| All That Matters: Revisiting Children's Concept of Relevance in Primary School Context Diletta Micol Tobia, Hrishita Chakrabarti, Maria Soledad Pera and Monica Landoni |
| One LLM to Train Them All: A Multi-Task Learning Framework for Fact-Checking Malin Astrid Larsson, Harald Fosen Grunnaleite and Vinay Setty |
| Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers Saron Samuel, Benjamin Van Durme and Eugene Yang |
| Judiciously Reducing Sub-group Comparisons for Learning Intersectional Fair Representations Clara Rus, Andrew Yates and Maarten de Rijke |
| Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching Clara Rus, Masoud Mansoury, Andrew Yates and Maarten de Rijke |
| From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems Vittoria Vineis and Gabriele Tolomei |
| Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Duc-Trong Le and Hoang-Quynh Le |
| Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas and Elisabeth Lex |
| Integrating AI and IR paradigms for sustainable and trustworthy accurate access to large scale Biomedical information Federico Borazio, Danilo Croce, Roberto Basili and Francesco Labbate |
| Debiasing CLIP with Neural Interventions Amelia Gómez Grabowska, Jordi Gonzalez and Lluis Gomez |
| Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation Hannah Eckert, Oleg Lesota and Markus Schedl |
| Measuring Political Stance and Consistency in Large Language Models Mucahid Kutlu, Saban Kardas, Salah Feras Alali and Mohammad Nashat Maasfeh |
| How Do LLMs Cite? A Mechanistic Interpretation of Attribution in RAG Ian van Dort and Maria Heuss |
| How Information Retrieval Systems Construct and Amplify Immigration Narratives Zarif Masud, Abhijit Paul, Syed Ishtiaque Ahmed and Ebrahim Bagheri |
| AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval Shuvam Banerji Seal, Aheli Poddar, Alok Mishra and Dwaipayan Roy |
| Cultural Analytics for Good: Building Inclusive Evaluation Frameworks for Historical IR Suchana Datta, Dwaipayan Roy, Derek Greene, Gerardine Meaney, Karen Wade and Philipp Mayr |
| When Attention Becomes Exposure in Generative Search Shayan Alipour, Mehdi Kargar and Morteza Zihayat |
| Practical, Efficient, In-Memory Inverted Indexes Joel Mackenzie, Sean MacAvaney, Antonio Mallia and Michal Siedlaczek |
| Conversational Search: Foundations, Large Language Models, and Agents Chuan Meng, Fengran Mo, Mohammad Aliannejadi, Jeff Dalton and Jian-Yun Nie |
| Economic Perspectives on Fairness in Information Retrieval Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu and Maarten de Rijke |
| Reasoning for IR & IR for Reasoning Mohanna Hoveyda, Panagiotis Eustratiadis, Arjen de Vries and Maarten de Rijke |
| Neural Lexical Search with Learned Sparse Retrieval Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth Singh, Thong Nguyen and Yibin Lei |
| Tutorial on Mechanistic Interpretability Catherine Chen, Maria Heuss and Carsten Eickhoff |
| Uncertainty Quantification for Large Language Models Maxim Panov, Artem Shelmanov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Lyudmila Rvanova and Timothy Baldwin |