With few-shot prompting, Llama 3.1 classifies paper titles and abstracts into five ORKG top-level fields at 0.82 accuracy, about 0.08 above a BERT baseline.
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On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
With few-shot prompting, Llama 3.1 classifies paper titles and abstracts into five ORKG top-level fields at 0.82 accuracy, about 0.08 above a BERT baseline.