Advances in Information Retrieval, Kartoniert / Broschiert

Klappentext

.- 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.