A survey of text watermarking in the era of large language models
Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …
Historically, their capabilities and application scenarios were limited. However, recent …
An Overview of Large Language Models for Statisticians
Large Language Models (LLMs) have emerged as transformative tools in artificial
intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text …
intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text …
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Text watermarking for Large Language Models (LLMs) has made significant progress in
detecting LLM outputs and preventing misuse. Current watermarking techniques offer high …
detecting LLM outputs and preventing misuse. Current watermarking techniques offer high …
De-mark: Watermark Removal in Large Language Models
Watermarking techniques offer a promising way to identify machine-generated content via
embedding covert information into the contents generated from language models (LMs) …
embedding covert information into the contents generated from language models (LMs) …
A Watermark for Order-Agnostic Language Models
Statistical watermarking techniques are well-established for sequentially decoded language
models (LMs). However, these techniques cannot be directly applied to order-agnostic LMs …
models (LMs). However, these techniques cannot be directly applied to order-agnostic LMs …