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Awesome LLM Papers

A curated collection of research papers on Large Language Models (LLMs), transformers, prompting, fine-tuning, and multi-modal systems. Maintained by Sean Moran.

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Scalable Educational Question Generation With Pre-trained Language Models

Sahan Bulathwela, Hamze Muse, Emine Yilmaz. Lecture Notes in Computer Science 2023 – 22 citations

[Paper]    
Training Techniques Fine-Tuning Pre-Training

The automatic generation of educational questions will play a key role in scaling online education, enabling self-assessment at scale when a global population is manoeuvring their personalised learning journeys. We develop \textit{EduQG}, a novel educational question generation model built by adapting a large language model. Our extensive experiments demonstrate that \textit{EduQG} can produce superior educational questions by further pre-training and fine-tuning a pre-trained language model on the scientific text and science question data.

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