Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Large language models (LLMs) have demonstrated remarkable performance on a variety of
natural language tasks based on just a few examples of natural language instructions …

Recently, there has been a rapid advancement in research on Large Language Models
(LLMs), resulting in significant progress in several Natural Language Processing (NLP) …

Recent breakthroughs in large language models (LLMs) have centered around a handful of
data-rich languages. What does it take to broaden access to breakthroughs beyond first …

The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon,
and Mistral, provides diverse options for AI practitioners and researchers. However, most …

The NLP community has mainly focused on scaling Large Language Models (LLMs)
vertically, ie, making them better for about 100 languages. We instead scale LLMs …

The rapid development of open-source large language models (LLMs) has been truly
remarkable. However, the scaling law described in previous literature presents varying …

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 …

Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and
generate following nature language instructions. However, the development of LLMs has …

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 …