Ensemble learning with RAG model to reduce redundant question topics in auto-generated exam questions

Abstract Reducing redundant question topics during automatic question generation (AQG) is essential for enhancing the quality of test sheets in assessment. Existing AQG models frequently generate repetitive questions due to insufficient named entity (Question Topic) diversity. This study aims to red...

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Bibliographic Details

Published in:	Discover Computing Vol. 28; no. 1; pp. 1 - 17
Main Authors:	R. Tharaniya Sairaj, S. R. Balasundaram
Format:	Journal Article
Language:	English
Published:	Springer 01.08.2025
Subjects:	Automatic question generation Ensemble pruning algorithm Knowledge graphs Named entity selection Retrieval augmented generation
ISSN:	2948-2992
Online Access:	Get full text
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