Intelligent or generative writing tools rely on large language models that recognize,
summarize, translate, and predict content. This position paper probes the copyright interests …

Intelligent or generative writing tools rely on large language models that recognize,
summarize, translate, and predict content. This position paper probes the copyright interests …

Large Language Models (LLMs) have transformed machine learning but raised significant
legal concerns due to their potential to produce text that infringes on copyrights, resulting in …

Past literature has illustrated that language models (LMs) often memorize parts of training
instances and reproduce them in natural language generation (NLG) processes. However, it …

Given the potential misuse of recent advances in synthetic text generation by language
models (LMs), it is important to have the capacity to attribute authorship of synthetic text …

In recent years, Large Language Models (LLMs) have gained significant popularity due to
their ability to generate human-like text and their potential applications in various fields, such …

Pre-training, which utilizes extensive and varied datasets, is a critical factor in the success of
Large Language Models (LLMs) across numerous applications. However, the detailed …

Web user data plays a central role in the ecosystem of pre-trained large language models
(LLMs) and their fine-tuned variants. Billions of data are crawled from the web and fed to …

Large language models (LLMs) are a type of generative artificial intelligence (AI) designed
to produce text‐based content. LLMs use deep learning techniques and massively large …

The wide applicability and adaptability of generative large language models (LLMs) has
enabled their rapid adoption. While the pre-trained models can perform many tasks, such …