Fine-tuned BERT sentence-pair classifiers reach F1 0.83 while few-shot LLM prompting reaches F1 0.78 on threat and solution framing detection in 440 manually coded German climate news articles.
Are we really making much progress in text classification? a comparative review
2 Pith papers cite this work. Polarity classification is still indexing.
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Llama 3.1 annotates Polish medical texts to train DistilBERT classifiers achieving F1 scores above 0.80 that are 500 times smaller than the teacher model.
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Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News
Fine-tuned BERT sentence-pair classifiers reach F1 0.83 while few-shot LLM prompting reaches F1 0.78 on threat and solution framing detection in 440 manually coded German climate news articles.
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ADMEDTAGGER: an annotation framework for distillation of expert knowledge for the Polish medical language
Llama 3.1 annotates Polish medical texts to train DistilBERT classifiers achieving F1 scores above 0.80 that are 500 times smaller than the teacher model.