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May, 2022
PDD:基于提示和动态演示的少样本自然语言推断生成
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration
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Kaijian Li, Shansan Gong, Kenny Q. Zhu
TL;DR
在少样本情况下,本文提出了一种带提示和动态演示的语言模型(LM-PDD)来解决自然语言推理生成任务问题,该方法在SNLI和MNLI数据集上比标准微调模型有着8%的平均绝对改进,并且在13种自然语言分类任务上表现良好,可以用于数据增强和可控文本生成。
Abstract
natural language inference generation
task is to generate a text hypothesis given a text premise and a logical relation between the two. This task can be used in
data augmentation
and controllable text generation
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