Sprache: Englisch
Verlag: Springer Nature Switzerland Ag, 2026
ISBN 10: 3032205476 ISBN 13: 9783032205476
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Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2026
ISBN 10: 3032205476 ISBN 13: 9783032205476
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Workshop on Advances in explainability, agents, and large language models, CALM 2025, held in Luxembourg City, Luxembourg, during December 1-5, 2025.The 8 full papers included in this book were carefully reviewed and selected from 15 submissions.The Workshop on Causality, Agents, and Large Models (CALM) fosters interdisciplinary collaboration at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs).
Taschenbuch. Zustand: Neu. Advances in Explainable Agentic AI and Large Language Models. | Second International Workshop, CALM 2025, Luxembourg City, Luxembourg, December 1-5, 2025, Proceedings | Yazan Mualla (u. a.) | Taschenbuch | Communications in Computer and Information Science | ix | Englisch | 2026 | Springer | EAN 9783032205476 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2025
ISBN 10: 3031891023 ISBN 13: 9783031891021
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Workshop on Advances in explainability, agents, and large language models, CALM 2024, held in Kyoto, Japan, during November 18 19, 2024.The 7 full papers and 1 short paper presented in this book were carefully reviewed and selected from 17 submissions. The Workshop on Causality, Agents, and Large Models (CALM) was established to foster interdisciplinary collaboration and advance research at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs).