Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Large language models (LLMs) have show great ability in various natural language tasks.
However, there are concerns that LLMs are possible to be used improperly or even illegally …

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 …

With the remarkable development and widespread applications of large language models
(LLMs), the use of machine-generated text (MGT) is becoming increasingly common. This …

Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …

With the rapid development and widespread application of Large Language Models (LLMs),
the use of Machine-Generated Text (MGT) has become increasingly common, bringing with …

Large language models (LLMs) have advanced to a point that even humans have difficulty
discerning whether a text was generated by another human, or by a computer. However …

In recent years, large language models (LLM) have progressed rapidly, leading to growing
concerns about the proliferation of difficult-to-distinguish AI-generated content. This has …

The proliferation of large language models (LLMs) has significantly enhanced text
generation capabilities across various industries. However, these models' ability to generate …

With the emergence of widely available powerful LLMs, disinformation generated by large
Language Models (LLMs) has become a major concern. Historically, LLM detectors have …