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Link zu diesem Datensatz | https://d-nb.info/1363972952 |
Titel | Advances in Explainability, Agents, and Large Language Models : First International Workshop on Causality, Agents and Large Models, CALM 2024, Kyoto, Japan, November 18–19, 2024, Proceedings / edited by Yazan Mualla, Liuwen Yu, Davide Liga, Igor Tchappi, Réka Markovich |
Person(en) |
Mualla, Yazan (Herausgeber) Yu, Liuwen (Herausgeber) Liga, Davide (Herausgeber) Tchappi, Igor (Herausgeber) Markovich, Réka (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, IX, 127 p. 37 illus., 29 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-89102-1 Printed edition:: ISBN: 978-3-031-89104-5 |
Inhalt | -- Enhancing Personalized Nutrition: A Hybrid Intelligence Approach with LLM-Powered Meal Planning. -- Generating Explanations for Molecular Property Predictions in Graph Neural Networks. -- Balancing (Normative) Reasons for the Intelligent Human-input-based Blockchain Oracle. -- Feature Generation Using LLMs: An Evolutionary Algorithm Approach. -- Augmenting Dark Patterns Text Data by Leveraging Large Language Models: a Multi-Agent Framework and Parameter-Efficient Fine-Tuning. -- Assessing the Robustness of LLMs in Predicting Supports and Attacks. -- Enhancing accuracy and explainability in anomaly classification with large language models. -- Agent-Based Hate Speech Moderation Approach |
Persistent Identifier |
URN: urn:nbn:de:101:1-2504250410339.394280030045 DOI: 10.1007/978-3-031-89103-8 |
URL | https://doi.org/10.1007/978-3-031-89103-8 |
ISBN/Einband/Preis | 978-3-031-89103-8 |
Sprache(n) | Englisch (eng) |
Beziehungen | Communications in Computer and Information Science ; 2471 |
DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
