This paper evaluates questions generated by LLMs from context, comparing them to human-generated questions across six dimensions. We introduce an automated LLM-based evaluation method, focusing on aspects like question length, type, context coverage, and answerability. Our findings highlight unique characteristics of LLM-generated questions, contributing insights that can support further research in question quality and downstream applications.
Can LLMs Design Good Questions Based on Context?
An automated evaluation method using LLMs assesses generated questions from context across multiple dimensions, revealing unique characteristics compared to human-generated questions.
- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 7
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2501.03491ARXIV-DEFAULT
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- Semantic Scholar