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PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zhang, Ruiyu, Nie, Lin, Lam, Wai-Fung, Wang, Qihao, Zhao, Xin
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computation and Language Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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