Unsupervised Transfer Clustering for Mitigating Cold Start in Active Prompt Learning
This paper proposes Unsupervised Transfer Clustering with Selective Querying (UTC+SQ), a framework that enhances a recent APL approach by leveraging state-of-the-art unsupervised transfer model, which generates high-fidelity pseudo-labels that establish semantically meaningful clusters, allowing for the selection of mo...