Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …

Answer assessment is a critical aspect of various fields including education, artificial
intelligence, and natural language processing. This paper aims to provide a comprehensive …

In recent years, large language models (LLMs) and generative AI have revolutionized
natural language processing (NLP), offering unprecedented capabilities in education. This …

Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling
highly personalized and adaptive learning environments within Intelligent Tutoring Systems …

Question Generation (QG) is an essential area in Natural Language Processing (NLP) that
aims to create questions from a given text. This paper reviews the evolution of QG methods …

Automatic question generation is a critical task that involves evaluating question quality by
considering factors such as engagement, pedagogical value, and the ability to stimulate …

Code generation by Llama 3.1 models, such as Meta's Llama 3.1 405B, represents a
significant advancement in the field of artificial intelligence, particularly in natural language …

In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs)
offers unprecedented opportunities for innovation in the field of modern education. We …

The distractor generation task focuses on generating incorrect but plausible options for
objective questions such as fill-in-the-blank and multiple-choice questions. This task is …

Abstract The development of Generative Pre-trained Transformer (GPT) models has marked
a significant milestone in the field of natural language processing (NLP). These models, with …