论文标题
部分可观测时空混沌系统的无模型预测
Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering
论文作者
论文摘要
质量管理和保证是太空机构保证太空任务成功的关键,而太空任务的成功是高风险且昂贵的。在本文中,我们提出了一个用于生成测验的系统,这是一种评估培训课程有效性的共同资源,该系统来自有关太空领域质量保证程序的文档。我们的系统利用T5和BART(例如T5和BART)的最新自动回归模型来产生问题,而Roberta模型则用于提取此类问题的答案,从而验证其适用性。
Quality management and assurance is key for space agencies to guarantee the success of space missions, which are high-risk and extremely costly. In this paper, we present a system to generate quizzes, a common resource to evaluate the effectiveness of training sessions, from documents about quality assurance procedures in the Space domain. Our system leverages state of the art auto-regressive models like T5 and BART to generate questions, and a RoBERTa model to extract answers for such questions, thus verifying their suitability.