Advances in Information Retrieval

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

AvClaudia Hauff,Craig Macdonald

Häftad, Engelska, 2025

Del 15574 i serien Lecture Notes in Computer Science

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Beskrivning

mso-ansi-language: EN-US;">The 52 full papers, 11 findings, 42 short papers and 76 papers of other types presented in these proceedings were carefully reviewed and selected from 530 submissions.

Produktinformation

Utgivningsdatum:2025-04-04
Mått:155 x 235 x 27 mm
Vikt:739 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:465
Förlag:Springer International Publishing AG
ISBN:9783031887130

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

.- exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem..- Unraveling the Impact of Visual Complexity on Search as Learning..- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism..- CountNet: Utilising Repetition Counts in Sequential Recommendation..- The Impact of Mainstream-Driven Algorithms on Recommendations for Children..- Leveraging Query Terms for Efficient Legal Document Recommendation..- Inducing Diversity in Differentiable Search Indexing..- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4..- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking..- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions..- Counterfactual Query Rewriting to Use Historical Relevance Feedback..- Improving Language Model Performance by Training on Prototypical Contradictions..- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models..- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval..- Approximate Bag-of-Words Top-k Corpus Graphs..- Gradual Negative Matching for LLM Unlearning..- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation..- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG..- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions..- Hierarchical Skip Decoding for Efficient Autoregressive Language Model..- Iterative Self-Training for Code Generation via Reinforced Re-Ranking..- Efficient Constant-Space Multi-Vector Retrieval..- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs..- BAAF - A Framework for Media Bias Detection..- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning..- Efficient and Effective Conversational Search with Tail Entity Selection..- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval..- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation..- Benchmarking Prompt Sensitivity in Large Language Models..- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?..- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking..- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?..- Passage Segmentation of Documents for Extractive Question Answering..- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness..- Retrieval-Augmented Neural Team Formation..- A Test Collection for Dataset Retrieval..- A new dataset for keyword extraction from IT job descriptions..- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering..- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search..- Improving RAG for Personalization with Author Features and Contrastive Examples..- E2Rank: Efficient and Effective Layer-wise Reranking..- Token-Level Graphs for Short Text Classification..- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets..- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking..- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.