Abstract: Contrastive unsupervised learning has made significant progress, but there is still potential for improvement by capturing finer details in input data. In this letter, we present PGMoCo, a ...
Enhancing Small Model Performance in Educational Classification Tasks through Knowledge Distillation
Abstract: As the demand for precision, efficiency, and low-cost solutions in educational classification tasks continues to grow, enhancing model performance has become a critical focus of research.
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