Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …

The popularity of LLaMA (Touvron et al., 2023a; b) and other recently emerged moderate-
sized large language models (LLMs) highlights the potential of building smaller yet powerful …

Evaluating the general abilities of foundation models to tackle human-level tasks is a vital
aspect of their development and application in the pursuit of Artificial General Intelligence …

Large language models are commonly trained on a mixture of filtered web data and
curated``high-quality''corpora, such as social media conversations, books, or technical …

Few-shot learning is a challenging task that requires language models to generalize from
limited examples. Large language models like GPT-3 and PaLM have made impressive …

Language models (LMs) have become ubiquitous in both NLP research and in commercial
product offerings. As their commercial importance has surged, the most powerful models …

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 …

While programming is one of the most broadly applicable skills in modern society, modern
machine learning models still cannot code solutions to basic problems. Despite its …

While large language models (LLMs) like GPT-3 have achieved impressive results on
multiple choice question answering (MCQA) tasks in the zero, one, and few-shot settings …