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 …

As the influence of Transformer-based approaches in general and generative AI in particular
continues to expand across various domains, concerns regarding authenticity and …

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 …

Scientific publishing lays the foundation of science by disseminating research findings,
fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge …

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

Detecting text generated by modern large language models is thought to be hard, as both
LLMs and humans can exhibit a wide range of complex behaviors. However, we find that a …

To mitigate the potential misuse of large language models (LLMs), recent research has
developed watermarking algorithms, which restrict the generation process to leave an …

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 …

Counterspeech, ie, direct responses against hate speech, has become an important tool to
address the increasing amount of hate online while avoiding censorship. Although AI has …

Watermarking approaches are proposed to identify if text being circulated is human or large
language model (LLM) generated. The state-of-the-art watermarking strategy of …