LLM watermarking has attracted attention as a promising way to detect AI-generated
content, with some works suggesting that current schemes may already be fit for …

In recent years, AI-generated text detection (AIGTD) has attracted more and more attention,
with numerous novel methodologies being proposed. However, most existing reviews on …

The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new
challenges for the academic community. With the help of these models, students can easily …

The widespread use of large language models (LLMs) is increasing the demand for
methods that detect machine-generated text to prevent misuse. The goal of our study is to …

Large language models have emerged as a significant phenomenon due to their ability to
produce natural text across various applications. However, the proliferation of generated text …

The burgeoning generative capabilities of large language models (LLMs) have raised
growing concerns about abuse, demanding automatic machine-generated text detectors …

Large language models (LLMs) can be abused at scale to create non-factual content and
spread disinformation. Detecting LLM-generated content is essential to mitigate these risks …

Large language models (LLMs) have exhibited remarkable fluency across various tasks.
However, their unethical applications, such as disseminating disinformation, have become a …

More efforts are being put into improving Large Language Models'(LLM) capabilities than
into dealing with their implications. Current LLMs are able to generate high quality texts …

The proliferation of AI-generated media poses significant challenges to information
authenticity and social trust, making reliable detection methods highly demanded. Methods …