This study addresses the significant challenge posed by the use of Large Language Models
(LLMs) such as ChatGPT on the integrity of online examinations, focusing on how these …

Self-evaluation using large language models (LLMs) has proven valuable not only in
benchmarking but also methods like reward modeling, constitutional AI, and self-refinement …

Human fact-checkers have specialized domain knowledge that allows them to formulate
precise questions to verify information accuracy. However, this expert-driven approach is …

Model attribution for LLM-generated disinformation poses a significant challenge in
understanding its origins and mitigating its spread. This task is especially challenging …

The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-
movements-while-reading corpus of 107 native English speakers reading machine …

The surge in advancements in large language models (LLMs) has expedited the generation
of synthetic text imitating human writing styles. This, however, raises concerns about the …

Integrating AI into education has the potential to transform the teaching of science and
technology courses, particularly in the field of cybersecurity. AI-driven question-answering …

Recent LLMs are able to generate high-quality multilingual texts, indistinguishable for
humans from authentic human-written ones. Research in machine-generated text detection …

Recent advancements in artificial intelligence have raised concerns about the authenticity of
text, prompting the need for effective detection methods for AI-generated content. In this …