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 …

Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …

We present an approach for estimating the fraction of text in a large corpus which is likely to
be substantially modified or produced by a large language model (LLM). Our maximum …

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …

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 …

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 …

The advancement of Large Language Models (LLMs) has led to increasing concerns about
the misuse of AI-generated text, and watermarking for LLM-generated text has emerged as a …

The strong general capabilities of Large Language Models (LLMs) bring potential ethical
risks if they are unrestrictedly accessible to malicious users. Token-level watermarking …

The Large Language Model (LLM) watermark is a newly emerging technique that shows
promise in addressing concerns surrounding LLM copyright, monitoring AI-generated text …

With the growing prevalence of generative artificial intelligence (AI), an increasing amount of
content is no longer exclusively generated by humans but by generative AI models with …