Advances in Information Retrieval

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

Produkt bewerten

Fabrizio Silvestri

▪Gabriella Kazai

▪Claudia Hauff

Verlag:

Springer Verlag

Unsere-Artikel-Nr.: P36789823

EAN: 9783031887079

Erhältlich:

Nicht auf Lager

Zustellung: Di, 29.09.2026

Versand: Kostenlos

-20.6 %

CHF 189.–

CHF 150.–

Beschreibung

- 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 TablesText 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.