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Original Article
An AI-Driven Quiz System using Multi-Agent Retrieval-Augmented Generation
Somay Singh1
Rohitash Meena2
Rajdeep Singh Hoon3
Dr. Vivek Mehta4
1 2 3 Department of Computer Science Engineering, Netaji Subhas University of Technology, Delhi, India. 4 Supervisor, Department of Computer Science Engineering, NSUT, Delhi, India.
Published Online: May-August 2026
Pages: 129-136
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502014
References
1. P. Lewis et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” in *Advances in Neural Information Processing Systems*, 2020.
2. D. Chen, A. Fisch, J. Weston, and A. Bordes, “Reading Wikipedia to Answer Open-Domain Questions,” in *Proc. ACL*, 2017.
3. Q. Wu et al., “AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,” arXiv:2308.08155, 2023.
4. Y. Gao et al., "Retrieval-Augmented Generation for Large Language Models: A Survey," arXiv:2312.10997, 2023.
5. A. Arslan and J. Cruz, “Comparative Analysis of Retrieval-Augmented Generation, Fine-Tuning and Prompt Engineering,” *IEEE Access*, 2023.
6. S. Kurdi, H. Leo, and K. Parsia, “A Systematic Review of Automatic Question Generation,” *Int. J. Artif. Intell. Educ.*, 2020.
7. K. VanLehn, “The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems,” *Educational Psychologist*, 2011.
8. N. T. Heffernan and C. L. Heffernan, “The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together,” *Int. J. Artif. Intell. Educ.*, 2014.
9. P. Brusilovsky, “Adaptive Hypermedia,” *User Modeling and User-Adapted Interaction*, 2001.
10. R. S. J. D’Mello and A. Graesser, “Intelligent Tutoring Systems,” *IEEE Intelligent Systems*, 2013.
11. G. Siemens and R. Baker, “Learning Analytics and Educational Data Mining: Towards Communication and Collaboration,” in *Proc. LAK*, 2012.
12. W. Holmes, M. Bialik, and C. Fadel, *Artificial Intelligence in Education: Promise and Implications for Teaching and Learning*. Center for Curriculum Redesign, 2019.
13. T. Brown et al., “Language Models are Few-Shot Learners,” in *Advances in Neural Information Processing Systems*, 2020.
14. H. Kasneci et al., “ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education,” *Learning and Individual Differences*, 2023.
15. M. Heilman and N. Smith, “Good Question Generation,” in *Proc. NAACL HLT*, 2010.
2. D. Chen, A. Fisch, J. Weston, and A. Bordes, “Reading Wikipedia to Answer Open-Domain Questions,” in *Proc. ACL*, 2017.
3. Q. Wu et al., “AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,” arXiv:2308.08155, 2023.
4. Y. Gao et al., "Retrieval-Augmented Generation for Large Language Models: A Survey," arXiv:2312.10997, 2023.
5. A. Arslan and J. Cruz, “Comparative Analysis of Retrieval-Augmented Generation, Fine-Tuning and Prompt Engineering,” *IEEE Access*, 2023.
6. S. Kurdi, H. Leo, and K. Parsia, “A Systematic Review of Automatic Question Generation,” *Int. J. Artif. Intell. Educ.*, 2020.
7. K. VanLehn, “The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems,” *Educational Psychologist*, 2011.
8. N. T. Heffernan and C. L. Heffernan, “The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together,” *Int. J. Artif. Intell. Educ.*, 2014.
9. P. Brusilovsky, “Adaptive Hypermedia,” *User Modeling and User-Adapted Interaction*, 2001.
10. R. S. J. D’Mello and A. Graesser, “Intelligent Tutoring Systems,” *IEEE Intelligent Systems*, 2013.
11. G. Siemens and R. Baker, “Learning Analytics and Educational Data Mining: Towards Communication and Collaboration,” in *Proc. LAK*, 2012.
12. W. Holmes, M. Bialik, and C. Fadel, *Artificial Intelligence in Education: Promise and Implications for Teaching and Learning*. Center for Curriculum Redesign, 2019.
13. T. Brown et al., “Language Models are Few-Shot Learners,” in *Advances in Neural Information Processing Systems*, 2020.
14. H. Kasneci et al., “ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education,” *Learning and Individual Differences*, 2023.
15. M. Heilman and N. Smith, “Good Question Generation,” in *Proc. NAACL HLT*, 2010.
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