On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension

• URL: http://arxiv.org/abs/2404.02800v1
• Date: Wed, 3 Apr 2024 15:17:21 GMT
• Title: On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
• Authors: Bernardo Leite, Henrique Lopes Cardoso,
• Abstract summary: We propose a few-shot prompting strategy for controlling the generation of question-answer pairs from children's narrative texts. We show the effectiveness of controlling the generation process by employing few-shot prompting side by side with a reference model.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Question Generation aims to automatically generate questions based on a given input provided as context. A controllable question generation scheme focuses on generating questions with specific attributes, allowing better control. In this study, we propose a few-shot prompting strategy for controlling the generation of question-answer pairs from children's narrative texts. We aim to control two attributes: the question's explicitness and underlying narrative elements. With empirical evaluation, we show the effectiveness of controlling the generation process by employing few-shot prompting side by side with a reference model. Our experiments highlight instances where the few-shot strategy surpasses the reference model, particularly in scenarios such as semantic closeness evaluation and the diversity and coherency of question-answer pairs. However, these improvements are not always statistically significant. The code is publicly available at github.com/bernardoleite/few-shot-prompting-qg-control.

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