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ORCIDICTIR 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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