Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

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 …

Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …

This study addresses the significant challenge posed by the use of Large Language Models
(LLMs) such as ChatGPT on the integrity of online examinations, focusing on how these …

Multimodal large language models (MLLMs) building upon the foundation of powerful large
language models (LLMs) have recently demonstrated exceptional capabilities in generating …

While large language models (LLMs) exhibit remarkable capabilities across a wide range of
tasks, they pose potential safety concerns, such as the``jailbreak''problem, wherein …

This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Large Language Models (LLMs) provide a possibility to make a great breakthrough in
medicine. The establishment of a standardized medical benchmark becomes a fundamental …