Large language models (LLMs) have exhibited impressive capabilities in human-like
reasoning and generation, prompting widespread exploration of their utility in mathematical …

Learner engagement wields considerable influence over educational outcomes. However,
quantifying engagement within online learning contexts presents a persistent challenge …

Large Language Models (LLMs) demonstrate remarkable capabilities in various reasoning
tasks. However, they encounter significant challenges when it comes to scientific reasoning …

The rapid progress in the field of natural language processing (NLP) systems and the
expansion of large language models (LLMs) have opened up numerous opportunities in the …

Citation text plays a pivotal role in elucidating the connection between scientific documents,
demanding an in-depth comprehension of the cited paper. Constructing citations is often …

Abstract Citation Text Generation (CTG) is a task in natural language processing (NLP) that
aims to produce text that accurately cites or references a cited document within a source …

Depression has proven to be a significant public health issue, profoundly affecting the
psychological well-being of individuals. If it remains undiagnosed, depression can lead to …

Abstract While Large Language Models (LLMs) can achieve human-level performance in
various tasks, they continue to face challenges when it comes to effectively tackling multi …

Large Language Models (LLMs) have demonstrated strong capabilities in text-based tasks
but struggle with the complex reasoning required for physics problems, particularly in …

In recent times, more and more people are posting about their mental states across various
social media platforms. Leveraging this data, AI-based systems can be developed that help …