| 2025 | Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking. | Chris Samarinas, Hamed Zamani |
| 2025 | Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models. | Alireza Salemi, Hamed Zamani |
| 2025 | Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization. | Alireza Salemi, Hamed Zamani |
| 2025 | Characterizing Mosaicing Inference Risk: A Preliminary Study. | Nathaniel W. Rollings, Douglas W. Oard |
| 2025 | Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations. | Prachi, Sumit Bhatia, Srikanta Bedathur |
| 2025 | Enhancing Retrieval-Augmented Generation for Text Completion Through Query Selection. | Idan Pogrebinsky, David Carmel, Oren Kurland |
| 2025 | Neural Prioritisation for Web Crawling. | Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto |
| 2025 | Untangling Cognitive Processes in Academic Information Searching: Investigating Tool Gaps, Cognitive Load, and User Satisfaction. | Ginar Santika Niwanputri, Abiye Tob-Ogu, Mahnaz Hosseinzadeh |
| 2025 | W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering. | Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang |
| 2025 | SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems. | Loc Tan Nguyen, Tin T. Tran |
| 2025 | A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis. | Ricardo Maral de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo Jos Lage Alvarenga, Nicola Ferro, Marcos Andr Gonalves |
| 2025 | Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement. | Maryam Mousavian, Zahra Abbasiantaeb, Mohammad Aliannejadi, Fabio Crestani |
| 2025 | Ameliorating the Herding Effect Driven by Search Engines using Diversity-Based Ranking. | Tommy Mordo, Itamar Reinman, Moshe Tennenholtz, Oren Kurland |
| 2025 | Handling Ties in Rank-Biased Measurement: Two Complementary Views. | Alistair Moffat |
| 2025 | Axioms for Retrieval-Augmented Generation. | Jan Heinrich Merker, Maik Frbe, Benno Stein, Martin Potthast, Matthias Hagen |
| 2025 | Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation. | Sha Li, Naren Ramakrishnan |
| 2025 | Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories. | Georgios Koutroumpas, Sebastian Idesis, Mireia Masias Bruns, Carlos Segura, Joemon M. Jose, Sergi Abadal, Ioannis Arapakis |
| 2025 | Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation. | To Eun Kim, Fernando Diaz |
| 2025 | Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models. | Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis |
| 2025 | Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval. | Gabriel de Jesus, Siddharth A. K. Singh, Srgio Nunes, Andrew Yates |
| 2025 | Insights into LLM-Based Conversational Search: A Study of Tetun-Speaking Users' Search Behavior. | Gabriel de Jesus, Srgio Nunes |
| 2025 | Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models. | Gabriel Iturra-Bocaz, Danny Vo, Petra Galusckov |
| 2025 | WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation? | Byungmoon Heo, Jaekwang Kim |
| 2025 | Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank. | Philipp Hager, Onno Zoeter, Maarten de Rijke |
| 2025 | Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins. | Lukas Gienapp, Niklas Deckers, Martin Potthast, Harrisen Scells |