The Artificial Intelligence department investigates the automation of reasoning and decision making processes, based on knowledge coming from texts and data as well as from the analysis of natural language.
For more information, consult the Artificial Intelligence department presentation on the IRIT website.
Latest full text publications
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Jeremy Bouche-Pillon, Nathalie Aussenac-Gilles, Yannick Chevalier, Pascale Zarate. Decision Support in Law: From Formalizing Rules to Reasoning with Justification. JURIX 2024: The Thirty-seventh Annual Conference, Jaromir Savelka; Jakub Harasta; Tereza Novotna; Jakub Misek, Dec 2024, Brno, Czech Republic. ⟨10.3233/faia241231⟩. ⟨hal-04828125⟩
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William Charles, Nathalie Aussenac-Gilles, Nathalie Jane Hernandez. Diachronical geometry without polygons: the extended HHT ontology for heterogeneous geometrical representations. The Semantic Web – ISWC 2024 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings,, Nov 2024, Baltimore (MA), United States. pp.80-96, ⟨10.1007/978-3-031-77847-6_5⟩. ⟨hal-04801045⟩
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Ayrton San Joaquin, Bin Wang, Zhengyuan Liu, Philippe Muller, Nicholas Asher, et al.. In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024, Miami, France. pp.10324-10335, ⟨10.18653/v1/2024.findings-emnlp.604⟩. ⟨hal-04829539⟩