Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part I

Author:   Claudia Hauff ,  Craig Macdonald ,  Dietmar Jannach ,  Gabriella Kazai
Publisher:   Springer International Publishing AG
Volume:   15572
ISBN:  

9783031887079


Pages:   474
Publication Date:   03 April 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part I


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Author:   Claudia Hauff ,  Craig Macdonald ,  Dietmar Jannach ,  Gabriella Kazai
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15572
ISBN:  

9783031887079


ISBN 10:   3031887077
Pages:   474
Publication Date:   03 April 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- Crossing the Structure Chasm – Querying Data Without Limits. .- Understanding the Interplay between LLMs’ Utilisation of Parametric and Contextual Knowledge. .- Knowledge Graphs Are Dead, Long Live Knowledge Graphs. .- LIBRA: Measuring Bias of Large Language Model from a Local Context. .- Embedding Cultural Diversity in Prototype-based Recommender Systems. .- Is Relevance Propagated from Retriever to Generator in RAG?. .- Measuring Actual Privacy of Obfuscated Queries in Information Retrieval. .- One size doesn’t fit all: Predicting the Number of Examples for In-Context Learning. .- MURR: Model Updating with Regularized Replay for Searching a Document Stream. .- Token Pruning Optimization for Efficient Dense Retrieval with Multi-Vector Representations. .- Advancing Math Formula Search Using Diverse Structural and Symbolic Representations. .- Ragnar¨ok: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track. .- Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. .- Graph Representation of Tables+Text and Compact Subgraph Retrieval for QA Tasks. .- Higher Order Knowledge Graph Embeddings. .- Improving the Re-Usability of Conversational Search Test Collections. .- Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation. .- Guiding Retrieval using LLM-based Listwise Rankers. .- Lost but Not Only in the Middle: Positional Bias in Retrieval Augmented Generation. .- Biased PromptORE: Enhancing Relation Extraction in Gendered Languages and Complex Texts – The Case of Spanish Documents from the XVI Century. .- LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval. .- Context Example Selection For LLM Generated Relevance Assessments. .- Enhancing FEVER-Style Claim Fact-Checking Against Wikipedia: A Diagnostic Taxonomy and Generative Framework. .- Evaluating Auto-complete Ranking for Diversity and Relevance. .- Semantically Proportioned nDCG for Explaining ColBERT’s Learning Process. .- Opt-in Transparent Fairness for Recommender Systems. .- Malevolence Attacks Against Pretrained Dialogue Models. .- Zero-Shot and Efficient Clarification Need Prediction in Conversational Search. .- Decoding the Hierarchy: A Hybrid Approach to Hierarchical Multi-Label Text Classification. .- A Multi-modal Recipe for Improved Multi-domain Recommendation. .- Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline. .- Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora.

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