In the past few years, it has become increasingly evident that deep neural networks are not
resilient enough to withstand adversarial perturbations in input data, leaving them …

Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …

Through design and development research (DDR), we aimed to create a validated
automatic question generation (AQG) system using large language models (LLMs) like …

Automatic sentence generation is an important problem in natural language processing that
has many applications, including language translation, summarization, and chatbots. Deep …

Question answering (QA) is a fundamental means to facilitate assessment and training of
narrative comprehension skills for both machines and young children, yet there is scarcity of …

Despite that reading assignments are prevalent, methods to encourage students to actively
read are limited. We propose a system ReadingQuizMaker that supports instructors to …

Natural language techniques require less personal information to communicate between
computers and people. Generative models can create text for machine translation …

Questioning plays a vital role in education, directing knowledge construction and assessing
students' understanding. However, creating high-level questions requires significant …

Evaluating the quality of automatically generated question items has been a long standing
challenge. In this paper, we leverage LLMs to simulate student profiles and generate …

The aim of this research is to provide a novel educational model with the goal of reducing
the expenses associated with manual question production and meeting the demand for a …