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Reinforcement Learning-Supervised LLM Question Generation from Educational Textbooks: A Comparative Study of Prompt Engineering and Post-Hoc Filtering
ABOUT
This journal article studies reinforcement learning-supervised large language model question generation from educational textbooks. It compares prompt engineering and post-hoc filtering as approaches for improving generated questions.
PUBLICATION INFO
VenueEngineering, Technology & Applied Science Research, Vol. 16(3), pp. 35162–35170
DateJune 2026
TypeJournal Article
DOI10.48084/etasr.17900
AUTHORS
F. A. Damastuti, A. B. Gumelar, K. Firmansyah
SUMMARY
A comparative study of prompt engineering and post-hoc filtering for reinforcement learning-supervised LLM question generation.