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Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Laiyk, Nurkhan, Orel, Daniil, Joshi, Rituraj, Goloburda, Maiya, Wang, Yuxia, Nakov, Preslav, Koto, Fajri
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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