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 …
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models
With the rapid advancement of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …
systems, such as search engines and recommender systems, have undergone a significant …
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
The black-box nature of large language models (LLMs) poses challenges in interpreting
results, impacting issues such as data intellectual property protection and hallucination …
results, impacting issues such as data intellectual property protection and hallucination …
Latent Watermarking of Audio Generative Models
The advancements in audio generative models have opened up new challenges in their
responsible disclosure and the detection of their misuse. In response, we introduce a …
responsible disclosure and the detection of their misuse. In response, we introduce a …
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 …
Latent Watermarking of Audio Generative Models
The advancements in audio generative models have opened up new challenges in their
responsible disclosure and the detection of their misuse. In response, we introduce a …
responsible disclosure and the detection of their misuse. In response, we introduce a …