使用类别描述标注的零样本文本分类训练的好处（英文版）

英文标题：The Benefits of Label-Description Training for Zero-Shot Text Classification中文摘要：本研究提出了一种简单的方法来进一步提高零 - shot 分类准确性，即利用精心策划的微调数据集描述任务的标签，进而在多个文本域中获得强大的预测模型。英文摘要：Large language models have improved zero-shot text classification by allowingthe transfer of semantic knowledge from the training data in order to classifyamong specific label sets in downstream tasks. We propose a simple way tofurther improve zero-shot accuracies with minimal effort. We curate smallfinetuning datasets intended to d