Zhang, R., Nie, L., Lam, W., Wang, Q., & Zhao, X. (2026). PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems.
Cita Chicago Style (17a ed.)Zhang, Ruiyu, Lin Nie, Wai-Fung Lam, Qihao Wang, y Xin Zhao. PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems. 2026.
Cita MLA (9a ed.)Zhang, Ruiyu, et al. PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems. 2026.
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