
Teil der Reihe: Springer Nature Proceedings Computer Science
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Inhaltsangabe
.- Conference Papers.
.- Do Physiological Signals Improve Both Generalization and Personal Perception of Sexism in Memes?.
.- Model Comparison for Kazakh Semantic Reuse Detection Across Pairwise, News, and Long-Document Evaluation.
.- Generative AI-based Uncertainty-aware IR Evaluation with Distributional Evaluation.
.- KangarooBench: A Native German Benchmark for Evaluating the Modality Gap in Visual Mathematics.
.- Privacy-Preserving NLP for a Low-Resource Language: Benchmarking LLM-Based Personally Identifiable Information Anonymization in Slovene.
.- Named Entity Masking for De-Biasing Text Classification: Experiments with German Datasets.
.- Contrastive Learning for Authorship Verification.
.- Scope Matters: A Hallucination-Aware Evaluation of Retrieval Strategies for Multilingual RAG.
.- A Controlled Study of Evidence Quality in LLM-Based Numerical Claim Verification.
.- A corpus for evaluating neutrality in political biographies on Wikipedia: NeutralWikiPol-fr.
.- Are Lexical Bindings Important for SPLADE?.
.- Evaluating Pre-Training Objectives for TITE.
.- Query Understanding with Large Language Models.
.- Category-Conditioned Persona Retrieval for Multi-Session Dialogue: A Method and a Gold-Annotation-Compatible Retrieval Metric.
.- Best of CLEF 2025 Labs.
.- Trusting Gut Instincts: A Fine-Grained Error Analysis of Transformer-Based Structured Data Extraction from Gut-Brain Axis Publications.
.- Lexical Simplification for Scientific Texts: Revisiting SARI in the Era of Modern LLMs
.- DS@GT ARC at LongEval: Evaluating Temporal Performance in Web Search Systems and Topics with Two-Stage Retrieval.
.- DS@GT ARC at Touch´e: Large Language Models for Retrieval Augmented Debate.
.- Scientific Claim–Source Retrieval Revisited: A Comparative Study of Style Transfer and Re-Ranking.
.- Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings.
.- Past, Present, Future.
.- ReTARgeting CLEF eHealth: From Historical TAR Benchmarks to Reusable Evaluation Resources.
.- Condensed Lab Overviews.
.- Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
.- Overview of CheckThat! 2026: Advancing Multilingual Fact-Checking.
.- Overview of ELOQUENT 2026: shared tasks for evaluating generative language model quality.
.- Overview of eRisk 2026 Early Risk Prediction on the Internet: Symptom Ranking and Conversational Approaches for Depression and ADHD.
.- Overview of EXIST 2026: Physiological Data for Multimodal Sexism Characterization in Social Media.
.- Overview of FinMMEval 2026: Multilingual and Multimodal Financial Evaluation.
.- Overview of CLEF HIPE-2026: Evaluating Accurate and Efficient Person–Place Relation Extraction from Multilingual Historical Texts.
.- Overview of ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and Security.
.- Overview of the CLEF 2026 JOKER Track: Humor Detection, Search, and Translation.
.- Overview of LifeCLEF 2026: AI Challenges for Biodiversity Understanding and Ecosystem Management.
.- Overview of the CLEF 2026 LongEval Lab on Longitudinal Evaluation of Model Performance.
.- Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection.
.- Overview of QuantumCLEF 2026: The Third Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF.
.- Overview of the CLEF 2026 SimpleText Track: Simplify Scientific Text (and Nothing More).
.- Overview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management.
.- Overview of Touch´e 2026– Argumentation Systems.
Produktdetails
- Erscheinungsdatum: 20.09.2026
- Autor/Autorin: Matthias Hagen
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 49.8 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 706 Seiten
- ISBN: 9783032391506
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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