A distilled BERT-to-DistilBERT multi-label classifier using sequential per-topic fine-tuning beats TF-IDF plus SVM and GPT-4o zero-shot on Hallmarks of Cancer abstracts when trained on 1,000 documents.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification
A distilled BERT-to-DistilBERT multi-label classifier using sequential per-topic fine-tuning beats TF-IDF plus SVM and GPT-4o zero-shot on Hallmarks of Cancer abstracts when trained on 1,000 documents.