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 …

It is commonly perceived that fake news and real news exhibit distinct writing styles, such as
the use of sensationalist versus objective language. However, we emphasize that style …

The adeptness of Large Language Models (LLMs) in comprehending and following natural
language instructions is critical for their deployment in sophisticated real-world applications …

Humans often interact with large language models (LLMs) in multi-turn interaction to obtain
desired answers or more information. However, most existing studies overlook the multi-turn …

As large language models (LLMs) become increasingly capable and widely deployed, the
risk of them generating misinformation poses a critical challenge. Misinformation from LLMs …

Recently, there has been growing interest in extending the context length of large language
models (LLMs), aiming to effectively process long inputs of one turn or conversations with …

Data plays a fundamental role in the training of Large Language Models (LLMs). Effective
data management, particularly in the formulation of a well-suited training dataset, holds …

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 …

The rapid advancement of large language models (LLMs) has sparked interest in data
synthesis techniques, aiming to generate diverse and high-quality synthetic datasets …