Educational technology innovations leveraging large language models (LLMs) have shown
the potential to automate the laborious process of generating and analysing textual content …

Machine-generated text is increasingly difficult to distinguish from text authored by humans.
Powerful open-source models are freely available, and user-friendly tools that democratize …

The increasing fluency and widespread usage of large language models (LLMs) highlight
the desirability of corresponding tools aiding detection of LLM-generated text. In this paper …

The unregulated use of LLMs can potentially lead to malicious consequences such as
plagiarism, generating fake news, spamming, etc. Therefore, reliable detection of AI …

This study aimed to explore the experiences, perceptions, knowledge, concerns, and
intentions of Generation Z (Gen Z) students with Generation X (Gen X) and Generation Y …

Recent advances in the capabilities of large language models such as GPT-4 have spurred
increasing concern about our ability to detect AI-generated text. Prior works have suggested …

Although chatbots such as ChatGPT can facilitate cost-effective text generation and editing,
factually incorrect responses (hallucinations) limit their utility. This study evaluates one …

Every major technical invention resurfaces the dual-use dilemma—the new technology has
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …

Generative AI systems across modalities, ranging from text, image, audio, and video, have
broad social impacts, but there exists no official standard for means of evaluating those …

Recent advances in large language models (LLMs) and the intensifying popularity of
ChatGPT-like applications have blurred the boundary of high-quality text generation …