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Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Rad, Melissa Kazemi, Nghiem, Huy, Luo, Andy, Wadhwa, Sahil, Sorower, Mohammad, Rawls, Stephen
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Cryptography and Security Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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