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Accepted Papers

Title Authors
LIBRA: Measuring Bias of Large Language Model from a Local Context Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham and Yun Sing Koh
Embedding Cultural Diversity in Prototype-based Recommender Systems Armin Moradi, Nicola Neophytou, Florian Carichon and Golnoosh Farnadi
Is Relevance ‘Lost in Transmission’ from Retriever to Generator? Fangzheng Tian, Debasis Ganguly and Craig Macdonald
Measuring Actual Privacy of Obfuscated Queries in Information Retrieval Francesco Luigi De Faveri, Guglielmo Faggioli and Nicola Ferro
One size doesn’t fit all: Predicting the Number of Examples for In-Context Learning Manish Chandra, Debasis Ganguly and Iadh Ounis
MURR: Model Updating with Regularized Replay for Searching a Document Stream Eugene Yang, Nicola Tonellotto, Dawn Lawrie, Sean MacAvaney, James Mayfield, Douglas Oard and Scott Miller
Token Pruning Optimization for Efficient Dense Retrieval with Multi-Vector Representations Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May, Tarun Agarwal, Tao Yang and Choon Hui Teo
Advancing Math Formula Search Using Diverse Structural and Symbolic Representations Sumedh Vemuganti, Ayu Seiya and Nickvash Kani
FrameworkX: A Reusable RAG Framework and Baselines for TrackY Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell and Jimmy Lin
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng and Ana Peleteiro Ramallo
Graph Representation of Tables+Text and Compact Subgraph Retrieval for QA Tasks Vishwajeet Kumar, Jaydeep Sen, Bhawna Chelani and Soumen Chakrabarti
Higher Order Knowledge Graph Embeddings Giuseppe Pirrò
Improving the Re-Usability of Conversational Search Test Collections Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi and Mohammad Aliannejadi
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation Yuanna Liu, Ming Li, Mohammad Aliannejadi and Maarten de Rijke
Guiding Retrieval using Large Language Models Mandeep Rathee, Sean MacAvaney and Avishek Anand
Lost but Not Only in the Middle: Positional Bias in Retrieval Augmented Generation Jan Hutter, David Rau, Maarten Marx and Jaap Kamps
Biased PromptORE: Enhancing Relation Extraction in Gendered Languages and Complex Texts – The Case of Spanish Documents from the XVI Century Héctor López Hidalgo, Michel Boeglin, David Kahn, Josiane Mothe, Diego Ortiz and David Panzoli
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie, Shanxiu He and Tao Yang
Context Example Selection For LLM Generated Relevance Assessments Jack McKechnie, Graham McDonald and Craig Macdonald
Enhancing FEVER-Style Claim Fact-Checking Against Wikipedia: A Diagnostic Taxonomy and Generative Framework Anton Chernyavskiy, Dmitry Ilvovsky and Preslav Nakov
Evaluating Auto-complete Ranking for Diversity and Relevance Sonali Singh, Sachin Farfade and Prakash Mandayam Comar
Semantically Proportioned nDCG for Explaining ColBERT’s Learning Process Ariane Mueller and Craig Macdonald
Opt-in Transparent Fairness for Recommender Systems Bjørnar Vassøy, Benjamin Kille and Helge Langseth
Malevolence Attacks Against Pretrained Dialogue Models Pengjie Ren, Ruiqi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke and Yangjun Zhang
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search Lili Lu, Chuan Meng, Federico Ravenda, Mohammad Aliannejadi and Fabio Crestani
Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-Label Text Classification Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrahmen Kammoun and Julien Subercaze
A Multi-modal Recipe for Improved Multi-domain Recommendation Zixuan Yi and Iadh Ounis
Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline Nicola Messina, Lucia Vadicamo, Leo Maltese and Claudio Gennaro
Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast and Matthias Hagen
Eye Movement During Search Behavior: a Window into Users’ Personality Traits Marta Micheli and Noriko Kando
Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast and Matthias Hagen
Patent Figure Classification using Large Vision-language Models Sushil Awale, Eric Müller-Budack and Ralph Ewerth
Efficient Session Retrieval Using Topical Index Shards Gijs Hendriksen, Djoerd Hiemstra and Arjen de Vries
Feature Attribution Explanations of Session-based Recommendations Simone Borg Bruun, Maria Maistro and Christina Lioma
Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption Anastasiia Klimashevskaia, Snorre Alvsvåg, Christoph Trattner, Alain D. Starke, Astrid Tessem and Dietmar Jannach
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering Imed Keraghel and Mohamed Nadif
Exploring the relationship between listener receptivity and source of music recommendations John Paul Vargheese, Marianne Wilson, Katherine Stephen, Rachel Salzano and David Brazier
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation Andreea Iana, Fabian David Schmidt, Goran Glavaš and Heiko Paulheim
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval Giacomo Pacini, Fabio Carrara, Nicola Messina, Nicola Tonellotto, Giuseppe Amato and Fabrizio Falchi
Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval Jesus Lovon-Melgarejo, Martin Mouysset, Jo Oleiwan, Jose G Moreno, Christine Damase-Michel and Lynda Tamine
MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching Wanqing Cui, Rui Cheng, Jiafeng Guo and Xueqi Cheng
On the Effect of Prompt Variations on Zero-shot LLM-based Rankers Shuoqi Sun, Shengyao Zhuang, Shuai Wang and Guido Zuccon
Query Performance Prediction using Dimension Importance Estimators Guglielmo Faggioli, Nicola Ferro, Raffaele Perego and Nicola Tonellotto
Uncertainty Estimation in the Real World: A study on Music Emotion Recognition Karn N Watcharasupat, Yiwei Ding, Aleksandra T Ma, Pavan Seshadri and Alexander Lerch
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang and Jimmy Lin
Semi-supervised image-based narrative extraction: A case study with historical photographic records Fausto German, Brian Keith, Mauricio Matus, Diego Urrutia and Claudio Meneses
LLM is Knowledge Graph Reasoner: LLM’s Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation Keigo Sakurai, Ren Togo, Takahiro Ogawa and Miki Haseyama
PEIR: Modeling Performance in Neural Information Retrieval Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke and Andy Pimentel
mFollowIR: a Multilingual Benchmark for Instruction Following in Information Retrieval Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Sam Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme and Dawn Lawrie
Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion Jorge Gabín and Javier Parapar
Can Large Language Models Effectively Rerank News Articles for Background Linking? Marwa Essam and Tamer Elsayed
Town Mice versus Country Mice: Urban Bias in Job Recommender Systems Roan Schellingerhout, Francesco Barile and Nava Tintarev
CUP: a Framework for Resource-Efficient Review-Based Recommenders Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum and Andrew Yates
Towards Efficient and Explainable Hate Speech Detection via Model Distillation Paloma Piot and Javier Parapar
Visual Latent Captioning – Towards Verbalizing Vision Transformer Encoders Sogol Haghighat, Tim Daniel Metzler, Santosh Thoduka and Sebastian Houben
On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke and Xueqi Cheng
Towards Reliable Testing for Multiple Information Retrieval System Comparisons David Otero, Javier Parapar and Alvaro Barreiro
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval Aymen Berriche, Mehdi Zakaria Adjal and Riyadh Baghdadi
exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem Sajad Ebrahimi, Sara Salamat, Negar Arabzadeh, Mahdi Bashari and Ebrahim Bagheri
Unraveling the Impact of Visual Complexity on Search as Learning Wolfgang Gritz, Anett Hoppe and Ralph Ewerth
Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria Mancino, Tommaso Di Noia and Eugenio Di Sciascio
CountNet: Utilising Repetition Counts in Sequential Recommendation Aleksandr V. Petrov, Efi Karra Taniskidou and Sean Murphy
The Impact of Mainstream-Driven Algorithms on Recommendations For Children Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera
Leveraging Query Terms for Efficient Legal Document Recommendation André Rolim, Leandro Marinho, Edleno Moura, Marcos Domingues and Ricardo Oliveira
Title Authors
Inducing Diversity in Differentiable Search Indexing Abhijeet Phatak, Jayant Sachdev, Sean D Rosario, Swati Kirti and Chittaranjan Tripathy
EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4 Wenjie Dong, Sirong Chen, Ming Gu and Yan Yang
Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking Watheq Mansour, Shane Culpepper and Joel Mackenzie
Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions Sebastian Heineking, Jonas Probst, Daniel Steinbach, Martin Potthast and Harrisen Scells
Counterfactual Query Rewriting to Use Historical Relevance Feedback Jüri Keller, Maik Fröbe, Gijs Hendriksen, Daria Alexander, Martin Potthast, Matthias Hagen and Philipp Schaer
Sequence-to-Sequence Encoder-Decoder Models for Efficient Listwise Reranking Manveer Singh Tamber, Ronak Pradeep and Jimmy Lin
The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval Andrew Liu, Edward Xu, Xinyu Zhang and Jimmy Lin
Approximate Bag-of-Words Corpus Graph Construction Lachlan Dunn, Luke Gallagher and Joel Mackenzie
Gradual Negative Matching for LLM Unlearning Hrishikesh Kulkarni, Nazli Goharian and Ophir Frieder
Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation Gian Carlo Milanese, Georgios Peikos, Gabriella Pasi and Marco Viviani
Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG Hasan Md Tusfiqur Alam, Devansh Srivastav, Md Abdul Kadir and Daniel Sonntag
Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions Haruki Fujimaki and Makoto P. Kato
Hierarchical Skip Decoding for Efficient Autoregressive Language Model Yunqi Zhu, Xuebing Yang, Yuanyuan Wu and Wensheng Zhang
Spectral Hypergraph Representations with Multi-step Attention for Knowledge-aware Visual Question Answering Dharani Punithan and Byoung Tak Zhang
Iterative Self-Training for Code Generation via Reinforced Re-Ranking Nikita Sorokin, Ivan Sedykh and Valentin Malykh
Efficient Constant-Space Multi-Vector Retrieval Sean MacAvaney, Antonio Mallia and Nicola Tonellotto
DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs Zheng Ju, Honghui Du, Elias Tragos, Neil Hurley and Aonghus Lawlor
BAAF – A Framework for Media Bias Detection Soumyadeep Sar, Subinay Adhikary and Dwaipayan Roy
A Simple but Effective Closed-form Solution for Extreme Multi-label Learning Kazuma Onishi and Katsuhiko Hayashi
Efficient and Effective Conversational Search with Tail Entity Selection Hai Dang Tran, Andrew Yates and Gerhard Weikum
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval Luo Ji, Feixiang Guo, Teng Chen, Qingqing Gu, Xiaoyu Wang, Ningyuan Xi, Yihong Wang, Peng Yu, Yue Zhao, Hongyang Lei, Zhonglin Jiang and Yong Chen
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation Oleg Lashinin, Krasilnikov Denis, Aleksandr Milogradskii and Marina Ananyeva
Benchmarking Prompt Sensitivity in Large Language Models Amirhosein Razavi, Mina Soltangheis, Negar Arabzadeh, Sara Salamat, Morteza Zihayat and Ebrahim Bagheri
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages? Ipek Baris Schlicht, Zhixue Zhao, Burcu Sayin, Lucie Flek and Paolo Rosso
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast and Matthias Hagen
Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help? Alaa El-Ebshihy, Annisa Maulida Ningtyas, Florina Piroi and Andreas Rauber
Passage Segmentation of Documents for Extractive Question Answering Zuhong Liu, Fabien Caspani and Charles-Elie Simon
Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness Luca Herranz-Celotti, Blessing Guembe, Giovanni Livraga and Marco Viviani
Retrieval-Augmented Neural Team Formation Mohammad Dara, Radin Hamidi Rad, Fattane Zarrinkalam and Ebrahim Bagheri
A Test Collection for Dataset Retrieval Nikolay Kolyada, Martin Potthast and Benno Stein
A new dataset for keyword extraction from IT job descriptions Nisan Fichman, Hadar Isaacson and Natalia Vanetik
Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering Omar Adjali, Olivier Ferret, Sahar Ghannay and Hervé Le Borgne
Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search Tommaso Teofili and Jimmy Lin
Improving RAG for Personalization with Author Features and Contrastive Examples Mert Yazan, Frederik Bungaran Ishak Situmeang and Suzan Verberne
E2Rank: Efficient and Effective Layer-wise Reranking Cesare Campagnano, Antonio Mallia, Jack Pertschuk and Fabrizio Silvestri
Token-Level Graphs for Short Text Classification Gregor Donabauer and Udo Kruschwitz
Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini and Leonardo Venuta
A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking Francesco Bombassei De Bona, David La Barbera, Stefano Mizzaro and Kevin Roitero
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers Francesca Pezzuti, Sean MacAvaney and Nicola Tonellotto
Improving Language Model Performance by Training on Prototypical Contradictions Maren Pielka, Marie-Christin Freischlad, Svetlana Schmidt and Rafet Sifa.
FAIR-QR : Enhancing Fairness-aware Information Retrieval through Query Refinement Fumian Chen and Hui Fang
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval Mohammad Mahdi Abootorabi and Ehsaneddin Asgari
ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup and Keshav Santhanam
Title Authors
kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search Leonardo Delfino, Domenico Erriquez, Silvio Martinico, Franco Maria Nardini, Cosimo Rulli and Rossano Venturini
TROPIC – Trustworthiness Rating of Online Publishers through online Interactions Calculation Manuel Pratelli, Fabio Saracco and Marinella Petrocchi
LS-Dashboard: A Tool for Monitoring and Analyzing Data Annotation in Machine Learning Classification Tasks Vinicius Monteiro de Lira and Peng Jiang
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification Michael Färber, Parisa Aghdam, Kyuri Im, Mario Tawfelis and Hardik Ghoshal
Sim4Rec: Flexible and Extensible Simulator for Recommender Systems for Large-Scale Data Anna Volodkevich, Veronika Ivanova, Alexey Vasilev, Dmitry Bugaychenko and Maxim Savchenko
TimIR: Time-Traveling through IR History Moritz Staudinger, Wojciech Kusa, Florina Piroi, Andreas Rauber and Allan Hanbury
Prabodhini: Making Large Language Models Inclusive for Low-Text Literate Users Vivan Jain, Srivant Vishnuvajjala, Pranathi Voora, Bhaskar Ruthvik Bikkina, Bharghavaram Boddapati, Chaitra C R, Dipanjan Chakraborty and Prajna Upadhyay
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A Samy Ateia and Udo Kruschwitz
PIE-Med: Predicting, Interpreting and Explaining Medical Recommendations Antonio Romano, Giuseppe Riccio, Marco Postiglione and Vincenzo Moscato
FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advisory Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie and Iadh Ounis
Semantic Search and Filtering with AI Agents Martin Bulín, Jan Švec, Filip Polák and Luboš Šmídl
TheoremView: A Framework for Extracting Theorem-Like Environments from Raw PDFs Shrey Mishra, Neil Sharma, Antoine Gauquier and Pierre Senellart
Checky, the Paper-Submission Checklist-Generator for Authors, Reviewers and LLMs Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth and Tobias Vente
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion Giuseppe Fasano, Yashar Deldjoo and Tommaso Di Noia
Spoken Question Answering on Municipal Council Meetings Pepijn van Wijk and Maarten Marx
MindWell: A Conversational Agent for Professional Depression Screening on Social Media Eliseo Bao, Anxo Pérez and Javier Parapar
Leveraging Language Models to Improve Human Annotation Efficiency with INCEpTION Luís Filipe Cunha, Nana Yu, Purificação Silvano, Ricardo Campos and Alipio Jorge
DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval Xinyu Mao, Teerapong Leelanupab, Harrisen Scells and Guido Zuccon
ASPIRE: Assistive System for Performance Evaluation in IR Georgios Peikos, Wojciech Kusa and Symeon Symeonidis
MedLink: Retrieval and Ranking of Case Reports to assist Clinical Decision Making Luís Filipe Cunha, Nuno Guimarães, Alexandra Mendes, Ricardo Campos and Alipio Jorge
Forecasting Prescription Efficacy Hao-Ren Yao, Oskar Mencer, Han-Sun Chiang, Der-Chen Chang and Ophir Frieder
Rebuilding the Past: Reconstructing Portuguese News Outlets with Web Archives Rodrigo Silva and Ricardo Campos
MechIR: A Mechanistic Interpretability Framework for Information Retrieval Andrew Parry, Catherine Chen, Carsten Eickhoff and Sean MacAvaney
Web-scale Retrieval Experimentation with chatnoir-pyterrier Jan Heinrich Merker, Janek Bevendorff, Maik Fröbe, Tim Hagen, Harrisen Scells, Matti Wiegmann, Benno Stein, Matthias Hagen and Martin Potthast
Automatic News Bias Classification for Strengthening Democracy [Demo] Tim Menzner and Jochen L. Leidner
Title Authors
Hierarchical prefixes for long document representations Iskandar Boucharenc
On the Longitudinal Impact of Exposure Bias in Recommender Systems Andrea Pisani
Combining dissimilarity spaces to improve approximate similarity search Elena Garcia-Morato, Felipe Ortega and Javier Gómez
Towards Query Obfuscation Strategies for Information Retrieval Francesco Luigi De Faveri
Automatic evaluation of online news outlets’ reliability John Bianchi
Cooperative and Competitive LLM-based Multi-Agent Systems for Recommendation Marco Valentini
SynKGP: Knowledge Graph Population with Syntactic-LLM Hybridation for Question-Answering Eve Sauvage
Understanding Numerical Contexts in Text by Asking Quantitative Questions R. Gayathri and Koninika Pal
Mitigating Gender Bias in Information Retrieval Systems Shirin Seyedsalehi
Towards Intent-Driven Transparency in Conversational Search Systems Yumeng Wang
A Framework for Robust Query Performance Prediction Using Contextual Relationships Abbas Salemi Nezhad
Enhancing Generative Models for Scientific Text Simplification Benjamin Vendeville
Title Authors
Combining Knowledge Graphs and Retrieval Augmented Generation for Enterprise Resource Planning Amar Viswanathan and Felix Sasaki
Adapting LLMs for Domain-Specific Retrieval: A Case Study in Nuclear Safety Federico Borazio, Danilo Croce and Roberto Basili
Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Nan Wang and Han Xiao
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents Kanika Goswami, Puneet Mathur, Ryan Rossi and Franck Dernoncourt
RURAGE: Robust Universal RAG Evaluator for Fast and Affordable QA Performance Testing Nikita Krayko, Ivan Sidorov, Fedor Laputin, Daria Galimzianova and Vasily Konovalov
Personalizing Enterprise Search with LLM Populated Attributes in Graph Models Christopher Liu and Varsha Embar
Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study Kevin Roitero, Andrea Zancola, Vincenzo Della Mea and Stefano Mizzaro
Contextualizing Spotify’s Audiobook List Recommendations with Descriptive Shelves Gustavo Penha, Alice Wang, Martin Achenbach, Kristen Sheets, Sahitya Mantravadi, Remi Galvez, Nico Guetta-Jeanrenaud, Divya Narayanan, Ofeliya Kalaydzhyan and Hugues Bouchard
Text2Playlist: Generating Personalized Playlists from Text on Deezer Mathieu Delcluze, Antoine Khoury, Clémence Vast, Valerio Arnaudo, Léa Briand, Walid Bendada and Thomas Bouabça
Title Authors
Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro and Christina Lioma
A Reproducibility Study on Consistent LLM Reasoning for Natural Language Inference over Clinical Trials Artur Guimarães, João Magalhães and Bruno Martins
On the Reproducibility of: Adapting Learned Sparse Retrieval for Long Documents Emmanouil Georgios Lionis and Jia-Huei Ju
Fact vs. Fiction: Are the Reportedly “Magical” LLM-Based Sequential Recommenders Reproducible? Shirin Tahmasebi, Narjes Nikzad, Amir H. Payberah, Meysam Asgari-Chenaghlu and Mihhail Matskin
Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval Yongkang Li, Panagiotis Eustratiadis and Evangelos Kanoulas
Combining and Evaluating Query Performance Predictors: A Reproducibility Study Sourav Saha, Suchana Datta, Dwaipayan Roy, Mandar Mitra and Derek Greene
A Reproducibility Study for Joint Information Retrieval and Recommendation in Product Search Simone Merlo, Guglielmo Faggioli and Nicola Ferro
Towards Reproducibility of Interactive Retrieval Experiments: Framework and Case Study Jana Isabelle Friese and Norbert Fuhr
Revisiting Language Models in Neural News Recommender Systems: A Reproducibility Study Yuyue Zhao, Jin Huang, David Vos and Maarten de Rijke
Title Authors
Multimodal feature extraction for assistive technology: evaluation and dataset Hunter Briegel, Maya Pagal, Jacki Liddle and Shane Culpepper
Improving novelty and diversity of nearest-neighbors recommendation by exploiting dissimilarities Pablo Sánchez, Javier Sanz-Cruzado and Alejandro Bellogin
LambdaFair for Fair and Effective Ranking Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando
How Child-Friendly is Web Search? An Evaluation of Relevance vs. Harm Maik Fröbe, Sophie Charlotte Bartholly and Matthias Hagen
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance Sofia Jamil, Aryan Dabad, Bollampalli Areen Reddy, Sriparna Saha, Rajiv Misra and Adil A. Shakur
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender System Fatemeh Nazary, Yashar Deldjoo and Tommaso Di Noia
Tales and Truths: Exploring the Linguistic Journey of 19th Century Literature and Non-Fiction Suchana Datta, Dwaipayan Roy, Derek Greene and Gerardine Meaney
Fair Exposure Allocation Using Generative Query Expansion Thomas Jaenich, Graham Mcdonald and Iadh Ounis
Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO Umer Butt, Stalin Veranasi and Günter Neumann
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer Andreas Chari, Sean MacAvaney and Iadh Ounis
How to Diversify any Personalized Recommender? Manel Slokom, Laura Hollink and Savvina Daniil
Nano-ESG: Extracting Corporate Sustainability Information from News Articles Fabian Billert and Stefan Conrad
Verifying Cross-modal Entity Consistency in News using Vision-language Models Sahar Tahmasebi, Ralph Ewerth and Eric Müller-Budack
Improving Minimax Group Fairness in Sequential Recommendation Krishna Acharya, David Wardrope, Timos Korres, Aleksandr V. Petrov and Anders Uhrenholt
Call for Research on the Impact of Information Retrieval on Social Norms Tim Gollub, Pierre Achkar, Martin Potthast and Benno Stein
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking Kevin Nanhekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty and Avishek Anand
Title Authors
Tutorial on Explainability in IR Avishek Anand
Tutorial on Fairness Michael Ekstrand
Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research Antonio Ferrara, Claudio Pomo and Nicola Tonellotto
Advanced Methods for Visual Information Retrieval and Exploration in Large Multimedia Collections Kai Uwe Barthel, Nico Hezel and Konstantin Schall
Tutorial on conversational search and recsys Nicola Ferro, Guglielmo Faggioli and Simone Merlo
Large Language Models are Human-like Annotators Mounika Marreddy, Subba Reddy Oota and Manish Gupta
Better together: useful things to know when combining techniques for IR, NLP, AI, and Recommender Systems Omar Alonso and Ken Church
Title Authors
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro and Emine Yilmaz
The Second Search Futures Workshop at ECIR’25 Charles Clarke, Paul Kantor, Adam Roegiest, Ian Soboroff, Johanne R. Trippas and Zhaochun Ren
QPP++2025: Query Performance Prediction and its Applications in the Era of Large Language Models Chuan Meng, Guglielmo Faggioli, Mohammad Aliannejadi, Nicola Ferro and Josiane Mothe
Proposal for the First Workshop on Scholarly Information Access (SCOLIA) Ingo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne and Christin Katharina Kreutz
Workshop on Evaluation of Retrieval-Augmented Generation Systems Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro and Mohammad Aliannejadi
Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2025) | Workshop Proposal Udo Kruschwitz, Marinella Petrocchi and Marco Viviani
The 8th International Workshop on Narrative Extraction from Texts (Text2Story’25) (Full Day) Ricardo Campos, Alipio Jorge, Adam Jatowt, Sumit Bhatia and Marina Litvak
3rd International Workshop on Geographic Information Extraction from Texts (GeoExT 2025) Xuke Hu, Ross Purves, Ludovic Moncla, Jens Kersten and Anna Kruspe
Proposal for the 2nd International Workshop on Open Web Search (WOWS) at ECIR 2025 Sheikh Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, Arjen de Vries and Saber Zerhoudi
Title Authors
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality, 2nd edition Jussi Karlgren, Ekaterina Artemova, Ondřej Bojar, Timothee Mickus, Vladislav Mikhailov, Magnus Sahlgren, Erik Velldal and Lilja Øvrelid
LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification Alexis Joly, Lukáš Picek, Stefan Kahl, Hervé Goëau, Lukas Adam, Christophe Botella, Diego Marcos, Maximilien Servajean, César Leblanc, Theo Larcher, Jiri Matas, Klara Janouskova, Vojtěch Čermák, Kostas Papafitsoros, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Pierre Bonnet and Henning Müller
LongEval at CLEF 2025: Longitudinal Evaluation of IR Model Performance Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink, Petra Galuščáková, Gabriela González Sáez, Lorraine Goeuriot, David Iommi, Jüri Keller, Petr Knoth, Philippe Mulhem, Florina Piroi, David Pride and Philipp Schaer
CLEF 2025 JOKER Lab: Humour in the Machine Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller and Ricardo Campos
ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications Bogdan Ionescu, Henning Müller, Dan-Cristian Stanciu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba García Seco de Herrera, Alexandra Andrei, Andrea Storås, Asma Ben Abacha, Benjamin Bracke, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph Friedrich, Cynthia Sabrina Schmidt, Didier Schwab, Dimitar Dimitrov, Emmanuelle Esperança-Rodier, Gabriel Constantin, Hendrik Damm, Henning Schäfer, Ivan Rodkin, Johannes Kiesel, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Martin Potthast, Maximilian Heinrich, Helmut Becker, Ivan Koychev, Josep Malvehy, Michael Riegler, Mihai Dogariu, Noel Codella, Pål Halvorsen, Preslav Nakov, Raphael Brüngel, Roberto Andres Novoa, Rocktim Jyoti Das, Steven A. Hicks, Sushant Gautam, Tabea M. G. Pakull, Vajira Thambawita, Vassili Kovalev, Wen-Wai Yim and Zhuohan Xie
BioASQ at CLEF2025: The thirteenth edition of the large-scale biomedical semantic indexing and question answering challenge Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Martin Krallinger, Miguel Rodriguez Ortega, Natalia Loukachevitch, Andrey Sakhovskiy, Elena Tutubalina, Grigorios Tsoumakas, George Giannakoulas, Alexandra Bekiaridou, Athanasios Samaras, Giorgio Maria Di Nunzio, Nicola Ferro, Stefano Marchesin, Laura Menotti, Gianmaria Silvello and Georgios Paliouras
eRisk 2025: Contextual and Conversational Approaches for Depression Challenges Javier Parapar, Anxo Perez, Xi Wang and Fabio Crestani
CLEF 2025 SimpleText Track: Simplify Scientific Text (and Nothing More) Liana Ermakova and Jaap Kamps
Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann and Eva Zangerle
EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos Laura Plaza, Jorge Carrillo-De-Albornoz, Iván Arcos, Paolo Rosso, Damiano Spina, Enrique Amigó, Julio Gonzalo and Roser Morante
QuantumCLEF 2025 – The Second Edition of the Quantum Computing Lab at CLEF Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Washington Cunha, Marcos Goncalves and Nicola Ferro
Overview of Touché 2025: Argumentation Systems Johannes Kiesel, Çağrı Çöltekin, Marcel Gohsen, Sebastian Heineking, Maximilian Heinrich, Maik Fröbe, Tim Hagen, Mohammad Aliannejadi, Tomaž Erjavec, Matthias Hagen, Matyáš Kopp, Nikola Ljubešić, Katja Meden, Nailia Mirzakhmedova, Vaidas Morkevičius, Harrisen Scells, Ines Zelch, Martin Potthast and Benno Stein
The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval Firoj Alam, Julia Maria Struß, Tanmoy Chakraborty, Stefan Dietze, Salim Hafid, Katerina Korre, Arianna Muti, Preslav Nakov, Federico Ruggeri, Sebastian Schellhamm, Vinay Setty, Megha Sundriyal, Konstantin Todorov and Venktesh Viswanathan
TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management Luis Gasco, Hermenegildo Fabregat, Laura García-Sardiña, Daniel Deniz, Alvaro Rodrigo and Rabih Zbib