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Large language models for generative information extraction: A survey
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
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 …
When foundation model meets federated learning: Motivations, challenges, and future directions
The intersection of the Foundation Model (FM) and Federated Learning (FL) provides mutual
benefits, presents a unique opportunity to unlock new possibilities in AI research, and …
benefits, presents a unique opportunity to unlock new possibilities in AI research, and …
A pathway towards responsible ai generated content
AI Generated Content (AIGC) has received tremendous attention within the past few years,
with content generated in the format of image, text, audio, video, etc. Meanwhile, AIGC has …
with content generated in the format of image, text, audio, video, etc. Meanwhile, AIGC has …
Watermark stealing in large language models
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 …
content, with some works suggesting that current schemes may already be fit for …
Copyright protection in generative ai: A technical perspective
Generative AI has witnessed rapid advancement in recent years, expanding their
capabilities to create synthesized content such as text, images, audio, and code. The high …
capabilities to create synthesized content such as text, images, audio, and code. The high …
Navigating llm ethics: Advancements, challenges, and future directions
This study addresses ethical issues surrounding Large Language Models (LLMs) within the
field of artificial intelligence. It explores the common ethical challenges posed by both LLMs …
field of artificial intelligence. It explores the common ethical challenges posed by both LLMs …
Watermarking makes language models radioactive
We investigate the radioactivity of text generated by large language models (LLM),\ie
whether it is possible to detect that such synthetic input was used to train a subsequent LLM …
whether it is possible to detect that such synthetic input was used to train a subsequent LLM …
Securing large language models: Threats, vulnerabilities and responsible practices
Large language models (LLMs) have significantly transformed the landscape of Natural
Language Processing (NLP). Their impact extends across a diverse spectrum of tasks …
Language Processing (NLP). Their impact extends across a diverse spectrum of tasks …
A survey of backdoor attacks and defenses on large language models: Implications for security measures
Large Language Models (LLMs), which bridge the gap between human language
understanding and complex problem-solving, achieve state-of-the-art performance on …
understanding and complex problem-solving, achieve state-of-the-art performance on …