| 2026 | [inline-graphic not available: see fulltext] Starbucks: Improved Training for 2D Matryoshka Embeddings. | Shengyao Zhuang, Shuai Wang, Fabio Zheng, Bevan Koopman, Guido Zuccon |
| 2026 | Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation. | Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao |
| 2026 | Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models? | Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin |
| 2026 | Beyond the Click: A Framework for Inferring Cognitive Traces in Search. | Saber Zerhoudi, Michael Granitzer |
| 2026 | Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs. | Donghuo Zeng, Hao Niu, Yanan Wang, Masato Taya |
| 2026 | Large Language Models as Assessors: On the Impact of Relevance Scales. | Riccardo Zamolo, Riccardo Lunardi, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Kevin Roitero |
| 2026 | Affective Recommendation Through Physiological and Multimodal User Modeling. | Moamen Zaher |
| 2026 | Utilizing Metadata for Better Retrieval-Augmented Generation. | Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan |
| 2026 | Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities. | Yu Ye, Junchen Fu, Yu Song, Kaiwen Zheng, Joemon M. Jose |
| 2026 | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2026 | RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation. | Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Trevor Adriaanse |
| 2026 | Economic Perspectives on Fairness in Information Retrieval. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2026 | Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval. | William Xion, Wolfgang Nejdl |
| 2026 | The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems. | Zhuohan Xie, Rania Elbadry, Fan Zhang, Georgi Georgiev, Xueqing Peng, Lingfei Qian, Jimin Huang, Dimitar Dimitrov, Vanshikaa Jani, Yuyang Dai, Jiahui Geng, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Preslav Nakov |
| 2026 | Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs. | Yuxi Xia, Loris Schoenegger, Benjamin Roth |
| 2026 | Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models. | Mikel Williams-Lekuona, Georgina Cosma |
| 2026 | OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation. | Lukas Wegmeth, Moritz Baumgart, Philipp Meister, Bela Gipp, Joeran Beel |
| 2026 | How Role-Play Shapes Relevance Judgment in Zero-Shot LLM Rankers. | Yumeng Wang, Jirui Qi, Catherine Chen, Panagiotis Eustratiadis, Suzan Verberne |
| 2026 | Enhancing Job Search Effectiveness with LLM-Powered Context-Aware Query Reformulation. | Quang Hieu Vu, Behnaz Nojavanasghari, Frank Yang, Andrew Rabinovich |
| 2026 | CancerRAGent: Evidence-Linked and Safety-Guided Oncology Question Answering. | Trung Vo, An Trieu, Vu Tran, Yuji Matsumoto, Le-Minh Nguyen |
| 2026 | From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems. | Vittoria Vineis, Gabriele Tolomei |
| 2026 | Efficient Optimization of Hierarchical Identifiers for Generative Recommendation. | Federica Valeau, Odysseas Boufalis, Polytimi Gkotsi, Joshua Rosenthal, David Vos |
| 2026 | Understanding Multi-Structured Documents via LLMs'. | Shivani Upadhyay, Messiah Ataey, Syed Shariyar Murtaza, Yifan Nie, Anirudh Aggarwal, Jimmy Lin |
| 2026 | All That Matters: Revisiting Children's Concept of Relevance in Primary School Context. | Diletta Micol Tobia, Hrishita Chakrabarti, Maria Soledad Pera, Monica Landoni |
| 2026 | Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation. | Fangzheng Tian, Debasis Ganguly, Craig Macdonald |