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October 20, 2025Open Access

Automatic Question & Answer Generation Using Generative Large Language Model (LLM)

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Automatic question generation improves efficiency in student evaluations, freeing up time for instructors.
The system utilizes unsupervised learning methods to model questions based on lecture materials.
Generative LLM fine-tuning through the RACE dataset enhances the accuracy of question formats.
Prompt engineering customizes question styles to meet educators' needs, such as MCQs or factual questions.

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This research demonstrates automatic question generation using NLP techniques, suggesting efficient evaluation for educators.

Ehsan et al. (2025) studied this question.

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