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ORCID47th ECIR 2025: Lucca, Italy - Part I
- Claudia Hauff, Craig Macdonald
, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto:
Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15572, Springer 2025, ISBN 978-3-031-88707-9 - Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh:
LIBRA: Measuring Bias of Large Language Model from a Local Context. 1-16 - Armin Moradi, Nicola Neophytou, Florian Carichon, Golnoosh Farnadi:
Embedding Cultural Diversity in Prototype-Based Recommender Systems. 17-31 - Fangzheng Tian, Debasis Ganguly, Craig Macdonald:
Is Relevance Propagated from Retriever to Generator in RAG? 32-48 - Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro:
Measuring Actual Privacy of Obfuscated Queries in Information Retrieval. 49-66 - Manish Chandra, Debasis Ganguly, Iadh Ounis:
One Size Doesn't Fit All: Predicting the Number of Examples for In-Context Learning. 67-84 - Eugene Yang, Nicola Tonellotto, Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard, Scott Miller:
MURR: Model Updating with Regularized Replay for Searching a Document Stream. 85-100 - Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May, Tarun Agarwal, Tao Yang, Choon Hui Teo:
Token Pruning Optimization for Efficient Multi-vector Dense Retrieval. 101-115 - Sumedh Vemuganti, Ayu Seiya, Nickvash Kani:
Advancing Math Formula Search Using Diverse Structural and Symbolic Representations. 116-131 - Ronak Pradeep, Nandan Thakur, Sahel Sharifymoghaddam, Eric Zhang, Ryan Nguyen, Daniel Campos, Nick Craswell, Jimmy Lin:
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. 132-148 - Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo:
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. 149-163 - Vishwajeet Kumar, Jaydeep Sen, Bhawna Chelani, Soumen Chakrabarti:
Graph Representation of Tables+Text and Compact Subgraph Retrieval for QA Tasks. 164-180 - Giuseppe Pirrò:
Higher Order Knowledge Graph Embeddings. 181-195 - Zahra Abbasiantaeb, Chuan Meng, Leif Azzopardi, Mohammad Aliannejadi:
Improving the Reusability of Conversational Search Test Collections. 196-213 - Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke:
Repeat-Bias-Aware Optimization of Beyond-Accuracy Metrics for Next Basket Recommendation. 214-229 - Mandeep Rathee, Sean MacAvaney, Avishek Anand:
Guiding Retrieval Using LLM-Based Listwise Rankers. 230-246 - Jan Hutter, David Rau, Maarten Marx, Jaap Kamps:
Lost but Not Only in the Middle - Positional Bias in Retrieval Augmented Generation. 247-261 - Michel Boeglin, David Kahn, Héctor López Hidalgo, Josiane Mothe, Diégo Ortiz, David Panzoli:
Biased PromptORE: Enhancing Relation Extraction in Gendered Languages and Complex Texts The Case of Spanish Documents from the XVIbf th Century. 262-275 - Yingrui Yang, Parker Carlson, Yifan Qiao, Wentai Xie, Shanxiu He, Tao Yang:
LSTM-Based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval. 276-292 - Jack McKechnie, Graham McDonald, Craig Macdonald:
Context Example Selection for LLM Generated Relevance Assessments. 293-309 - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Enhancing FEVER-Style Claim Fact-Checking Against Wikipedia: A Diagnostic Taxonomy and a Generative Framework. 310-325 - Sonali Singh, Sachin Farfade, Prakash Mandayam Comar:
Evaluating Auto-complete Ranking for Diversity and Relevance. 326-340 - Ariane Mueller, Craig Macdonald:
Semantically Proportioned nDCG for Explaining ColBERT's Learning Process. 341-356 - Bjørnar Vassøy, Benjamin Kille, Helge Langseth:
Opt-in Transparent Fairness for Recommender Systems. 357-371 - Pengjie Ren, Ruiqi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke, Yangjun Zhang:
Malevolence Attacks Against Pretrained Dialogue Models. 372-388 - Lili Lu, Chuan Meng, Federico Ravenda, Mohammad Aliannejadi, Fabio Crestani:
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search. 389-404 - Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze:
Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-label Text Classification. 405-420 - Zixuan Yi, Iadh Ounis:
A Multi-modal Recipe for Improved Multi-domain Recommendation. 421-436 - Nicola Messina, Lucia Vadicamo, Leo Maltese, Claudio Gennaro:
Towards Identity-Aware Cross-Modal Retrieval: A Dataset and a Baseline. 437-452 - Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen:
Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora. 453-471
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