LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification
Large-scale multi-label text classification assigns a small subset of relevant labels to each document from a vocabulary containing thousands or tens of thousands of candidate labels. Although pretrained language models have improved semantic text representations, most representation-based approaches center their predi...
Hui Ye, Jing Zhang, Xiu-Long Yang et al.
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