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Originalpublikation
Antoniou, G.; Batsakis, S.: Defeasible Reasoning with Large Language Models - Initial Experiments and Future Directions. In: Vanthienen, Jan; Kliegr, Tomáš; Fodor, Paul; Lanti, Davide; Arndt, Dörthe; Kostylev, Egor V.; Mitsikas, Theodoros; Soylu, Ahmet (Eds.): RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 : proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 2023. Aachen, Germany : RWTH Aachen, 2023 (CEUR workshop proceedings ; 3485), 7687.
Version im Repositorium
Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI:
https://doi.org/10.15488/16489
| Zusammenfassung: | |
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As Large Language Models gain prominence in the AI landscape, it is essential to understand their capabilities and limitations, among others in terms of reasoning. This paper is a first step towards understanding the capabilities in terms of defeasible rule-based reasoning. It presents results of initial experiments and discussed future research directions.
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| Lizenzbestimmungen: | CC BY 4.0 Unported - https://creativecommons.org/licenses/by/4.0 |
| Publikationstyp: | BookPart |
| Publikationsstatus: | publishedVersion |
| Erstveröffentlichung: | 2023 |
| Schlagwörter (englisch): | Defeasible Reasoning, Large Language Models, Non-monotonic Reasoning |
| Fachliche Zuordnung (DDC): | 004 | Informatik |
| Kontrollierte Schlagwörter: | Konferenzschrift |
Die Publikation erscheint in Sammlung(en):
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