Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data?
Authors
Anna Nikiforovskaya
Claire Gardent
Evan Parker Kelly Chapple
William Soto Martinez
Institutions
Centre National de la Recherche Scientifique (FR)
Laboratoire Lorrain de Recherche en Informatique et ses Applications (FR)
Université de Lorraine (FR)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-10-29
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
Funders
Agence Nationale de la Recherche
Centre National de la Recherche Scientifique
Grand Équipement National De Calcul Intensif
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article
Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data?
Anna Nikiforovskaya, Claire Gardent, Evan Parker Kelly Chapple, William Soto Martinez
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Topic Modeling
article
Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data?
Anna Nikiforovskaya, Claire Gardent, Evan Parker Kelly Chapple, William Soto Martinez
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Centre National de la Recherche Scientifique (FR), Laboratoire Lorrain de Recherche en Informatique et ses Applications (FR), Université de Lorraine (FR)
Funders
Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Grand Équipement National De Calcul Intensif