Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XXIV, 446 p. 87 illus., 80 illus. in color.)
Disciplina	006.35
Collana	Lecture Notes in Computer Science
Soggetto topico	Natural language processing (Computer science) Information storage and retrieval systems Database management Data mining Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning
ISBN	3-031-88717-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- FAIR-QR : Enhancing Fairness-aware Information Retrieval through Query Refinement. -- CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval. -- ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring. -- Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study. -- A Reproducibility Study on Consistent LLM Reasoning for Natural Language Inference over Clinical Trials. -- On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents. -- Fact vs. Fiction: Are the Reportedly ”Magical” LLM-Based Sequential Recommenders Reproducible?. -- Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval. -- Combining and Evaluating Query Performance Predictors: A Reproducibility Study. -- A Reproducibility Study for Joint Information Retrieval and Recommendation in Product Search. -- Towards Reproducibility of Interactive Retrieval Experiments: Framework and Case Study. -- Revisiting Language Models in Neural News Recommender Systems. -- Multimodal feature extraction for assistive technology: evaluation and dataset. -- Improving novelty and diversity of nearest-neighbors recommendation by exploiting dissimilarities. -- LambdaFair for Fair and Effective Ranking. -- How Child-Friendly is Web Search? An Evaluation of Relevance vs. Harm. -- GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance. -- Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval- Augmented Generation in Recommender System. -- Tales and Truths: Exploring the Linguistic Journey of 19th Century Literature and Non-Fiction. -- Fair Exposure Allocation Using Generative Query Expansion. -- Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO. -- Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer. -- How to Diversify any Personalized Recommender?. -- Nano-ESG: Extracting Corporate Sustainability Information from News Articles. -- Verifying Cross-modal Entity Consistency in News using Visionlanguage Models. -- Improving Minimax Group Fairness in Sequential Recommendation. -- Call for Research on the Impact of Information Retrieval on Social Norms. -- FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. -- kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. -- TROPIC – Trustworthiness Rating of Online Publishers through online Interactions Calculation. -- LS-Dashboard: A Tool for Monitoring and Analyzing Data Annotation in Machine Learning Classification Tasks. -- SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification. -- Sim4Rec: Flexible and Extensible Simulator for Recommender Systems for Large-Scale Data. -- TimIR: Time-Traveling through IR History. -- Prabodhini: Making Large Language Models Inclusive for Low-Text Literate Users.
Record Nr.	UNINA-9910993928203321

Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XXV, 465 p. 97 illus., 92 illus. in color.)
Disciplina	006.35
Collana	Lecture Notes in Computer Science
Soggetto topico	Natural language processing (Computer science) Information storage and retrieval systems Database management Data mining Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning
ISBN	3-031-88714-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- 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.
Record Nr.	UNINA-9910993928503321

Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XXVIII, 491 p. 75 illus., 66 illus. in color.)
Disciplina	006.35
Collana	Lecture Notes in Computer Science
Soggetto topico	Natural language processing (Computer science) Information storage and retrieval systems Database management Data mining Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning
ISBN	3-031-88720-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A. -- PIE-Med: Predicting, Interpreting and Explaining Medical Recommendations. .-FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. -- Semantic Search and Filtering with AI Agents. -- TheoremView: A Framework for Extracting Theorem-Like Environments from Raw PDFs. -- Checky, the Paper-Submission Checklist-Generator for Authors, Reviewers and LLMs. -- AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion. -- Spoken Question Answering on Municipal Council Meetings. -- MindWell: A Conversational Agent for Professional Depression Screening on Social Media. -- Leveraging Language Models to Improve Human Annotation Efficiency with INCEpTION. -- DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval. -- ASPIRE: Assistive System for Performance Evaluation in IR. -- MedLink: Retrieval and Ranking of Case Reports to assist Clinical Decision Making. -- Forecasting Prescription Efficacy. -- Rebuilding the Past: Reconstructing Portuguese News Outlets with Web Archives. -- MechIR: A Mechanistic Interpretability Framework for Information Retrieval. -- Web-scale Retrieval Experimentation with chatnoir-pyterrier. -- Automatic News Bias Classification for Strengthening Democracy [Demo]. -- Combining Knowledge Graphs and Retrieval Augmented Generation for Enterprise Resource Planning. -- Adapting LLMs for Domain-Specific Retrieval: A Case Study in Nuclear Safety. -- Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations. -- PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents. -- RURAGE: Robust Universal RAG Evaluator for Fast and Affordable QA Performance Testing. -- Personalizing Enterprise Search with LLM Populated Attributes in Graph Models. -- Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study. -- Contextualizing Spotify’s Audiobook List Recommendations with Descriptive Shelves. -- Text2Playlist: Generating Personalized Playlists from Text on Deezer. -- Hierarchical prefixes for long document representations. -- On the Longitudinal Impact of Exposure Bias in Recommender Systems. -- Combining dissimilarity spaces to improve approximate similarity search. -- Towards Query Obfuscation Strategies for Information Retrieval. -- Automatic evaluation of online news outlets’ reliability. -- Cooperative and Competitive LLM-based Multi-Agent Systems for Recommendation. -- SynKGP: Knowledge Graph Population with Syntactic-LLM Hybridation for Question-Answering. -- Understanding Numerical Contexts in Text by Asking Quantitative Questions. -- Mitigating Gender Bias in Information Retrieval Systems. -- Towards Intent-Driven Transparency in Conversational Search Systems. -- A Framework for Robust Query Performance Prediction Using Contextual Relationships. -- Enhancing Generative Models for Scientific Text Simplification. -- Explainable Information Retrieval. -- Fairness in Information Access: Conceptual Foundations and New Directions. -- Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. -- Advanced Methods for Visual Information Retrieval and Exploration in Large Multimedia Collections. -- Tutorial on conversational search and recsys. -- Large Language Models are Human-like Annotators. -- Rapid Prototyping for AI-based Applications: A Hands-on Tutorial for Connecting the Dots. -- KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. -- The Second Search Futures Workshop at ECIR’25. -- QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models. -- The First Workshop on Scholarly Information Access (SCOLIA). -- Workshop on Evaluation of Retrieval-Augmented Generation Systems. -- ROMCIR 2025: Overview of the 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval. -- The 8th International Workshop on Narrative Extraction from Texts (Text2Story’25) (Full Day). -- 3rd International Workshop on Geographic Information Extraction from Texts (GeoExT 2025). -- The Second International Workshop on Open Web Search (WOWS). -- ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality, 2nd edition. -- LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. -- LongEval at CLEF 2025: Longitudinal Evaluation of IR Model Performance. -- CLEF 2025 JOKER Lab: Humour in the Machine. -- ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. -- BioASQ at CLEF2025: The thirteenth edition of the large-scale biomedical semantic indexing and question answering challenge. -- eRisk 2025: Contextual and Conversational Approaches for Depression Challenges. -- CLEF 2025 SimpleText Track: Simplify Scientific Text (and Nothing More). -- Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection. -- EXIST 2025: Learning with Disagreement for Sexism Identification and Characterization in Tweets, Memes, and TikTok Videos. -- QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF. -- Overview of Touch´e 2025: Argumentation Systems. -- The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval. -- TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management.
Record Nr.	UNINA-9910993940203321

Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XXXI, 474 p. 111 illus., 102 illus. in color.)
Disciplina	006.35
Collana	Lecture Notes in Computer Science
Soggetto topico	Natural language processing (Computer science) Information storage and retrieval systems Database management Data mining Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning
ISBN	3-031-88708-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- 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.
Record Nr.	UNINA-9910993936003321

Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XXIII, 456 p. 92 illus., 70 illus. in color.)
Disciplina	006.35
Collana	Lecture Notes in Computer Science
Soggetto topico	Natural language processing (Computer science) Information storage and retrieval systems Database management Data mining Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning
ISBN	3-031-88711-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders. -- Patent Figure Classification using Large Vision-language Models. -- E!cient Session Retrieval Using Topical Index Shards. -- Feature Attribution Explanations of Session-based Recommendations. -- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption. -- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering. -- Exploring the relationship between listener receptivity and source of music recommendations. -- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation. -- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval. -- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval. -- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching. -- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers. -- Query Performance Prediction using Dimension Importance Estimators. -- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition. -- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. -- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records. -- LLM is Knowledge Graph Reasoner: LLM’s Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation. -- PEIR: Modeling Performance in Neural Information Retrieval. -- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval. -- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion. -- Can Large Language Models E#ectively Rerank News Articles for Background Linking?. -- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System. -- CUP: a Framework for Resource-E!cient Review-Based Recommenders. -- Towards E!cient and Explainable Hate Speech Detection via Model Distillation. -- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders. -- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. -- Towards Reliable Testing for Multiple Information Retrieval System Comparisons. -- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.
Record Nr.	UNINA-9910993931903321