question-options generation (QOG) is a task that involves generating a set of
question-options pairs given context. This task has various applications,
including fine-tuning large models, information retrieval, a
Question generation is a natural language generation task that can be achieved with a single Transformer-based unidirectional language model, which outperforms QG baselines and produces high-quality questions that are relevant to their context paragraph and easy to answer, utilizing transfer learning without relying on auxiliary data.