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Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Syromiatnikov, Mykyta, Ruvinskaya, Victoria, Komleva, Nataliia
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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