Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

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 …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Watermarking generative models consists of planting a statistical signal (watermark) in a
model's output so that it can be later verified that the output was generated by the given …

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …

The ability to accurately identify authorship is crucial for verifying content authenticity and
mitigating misinformation. Large Language Models (LLMs) have demonstrated exceptional …

This study set out to evaluate the accuracy of 30 AI detectors in identifying generative
artificial intelligence (GenAI)-generated and human-written content in university English L1 …

Against the misuse (eg, plagiarism or spreading misinformation) of Large Language Models
(LLMs), many recent works have presented LLM-generated-text detectors with promising …

Large Language Models (LLMs) have gained prominence in various applications, including
security. This paper explores the utility of LLMs in scam detection, a critical aspect of …