CformerM extends Cformer with LDA-based objective masking during pre-training and reports consistent, modest accuracy gains over Cformer and baselines across four text datasets.
C., Hinneburg, A., and Keim, D
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The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification
CformerM extends Cformer with LDA-based objective masking during pre-training and reports consistent, modest accuracy gains over Cformer and baselines across four text datasets.