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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Taraghi, Mina, Pequignot, Yann, Nikanjam, Amin, Merzouk, Mohamed Amine, Khomh, Foutse
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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