Fawzi, Fares;
Balan, Sarang;
Cukurova, Mutlu;
Yilmaz, Emine;
Bulathwela, Sahan;
(2024)
Towards Human-like Educational Question
Generation with Small Language Models.
In: Olney, Andrew M and Chounta, Irene-Angelica and Liu, Zitao and Santos, Olga C and Bittencourt, Ig Ibert, (eds.)
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky.
(pp. pp. 295-303).
Springer: Cham, Switzerland.
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Abstract
With the advent of Generative AI models, the automatic generation of educational questions plays a key role in developing online education. This work compares large-language model-based (LLM) systems and their small-language model (sLM) counterparts for educational question generation. Our experiments, quantitatively and qualitatively, demonstrate that sLMs can produce educational questions with comparable quality by further pre-training and fine-tuning.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards Human-like Educational Question Generation with Small Language Models |
| Event: | 25th International Conference, AIED 2024 |
| Location: | Recife, Brazil |
| Dates: | 12 Jul 2024 - 8 Jul 2024 |
| ISBN-13: | 978-3-031-64314-9 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-031-64315-6_25 |
| Publisher version: | https://doi.org/10.1007/978-3-031-64315-6_25 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10196728 |
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