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European Conference on Information Retrieval

ECIR

A

CORE rank

CORE rank (raw)

A

Fields of research

Data Management and Data Science

Papers indexed

2,994

1997–2026

Papers per year

1997246 peak2026

ECIR papers

2,994 records sourced from DBLP. Search titles, filter by year, sort by recency.

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