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Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Ahmad, Zishan, Gopalakrishnan, Saisubramaniam
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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