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 …

Large language models (LLMs), such as ChatGPT and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Program synthesis has been long studied with recent approaches focused on directly using
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …

We introduce Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model. Mixtral has
the same architecture as Mistral 7B, with the difference that each layer is composed of 8 …

This paper presents an experimental study regarding the use of OpenAI's ChatGPT for
robotics applications. We outline a strategy that combines design principles for prompt …

Recently, large language models (LLMs)(eg, GPT-4) have demonstrated impressive general-
purpose task-solving abilities, including the potential to approach recommendation tasks …

We aim to produce a smaller language model that is aligned to user intent. Previous
research has shown that applying distilled supervised fine-tuning (dSFT) on larger models …

Large language models (LLMs) have pushed the limits of natural language understanding
and exhibited excellent problem-solving ability. Despite the great success, most existing …

Large Language Models (LLMs) have drawn a lot of attention due to their strong
performance on a wide range of natural language tasks, since the release of ChatGPT in …

Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …