2024-08-09-gorgun24a.md

title	booktitle	year	abstract	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
Current Evaluation Methods are a Bottleneck in Automatic Question Generation	Proceedings of the 2024 AAAI Conference on Artificial Intelligence	2024	This study provides a comprehensive review of frequently used evaluation methods for assessing the quality of automatic question generation (AQG) systems based on computational linguistics techniques and large language models. As we present a comprehensive overview of the current state of evaluation methods, we discuss the advantages and limitations of each method. Furthermore, we elucidate the next steps for the full integration of automatic question generation systems in educational settings to achieve effective personalization and adaptation.	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	gorgun24a	0	Current Evaluation Methods are a Bottleneck in Automatic Question Generation	3	8	3-8	3	false	Gorgun, Guher and Bulut, Okan	given family Guher Gorgun given family Okan Bulut	2024-08-09		Proceedings of the 2024 AAAI Conference on Artificial Intelligence	257	inproceedings	date-parts 2024 8 9	https://raw.githubusercontent.com/mlresearch/v257/main/assets/gorgun24a/gorgun24a.pdf