Exploring Survey Papers on Large Language Models with SVM and Random Forest

Abstract

Recent advancements in large language models have led to the publication of numerous survey papers, offering insights into their development and applications. However, for beginners, the vast amount of literature can be overwhelming, posing challenges in identifying key trends and understanding foundational concepts efficiently. This report explores metadata from recent LLM survey papers, aiming to provide an in-depth analysis of publication trends, popular topics, and accessibility for newcomers. Our findings offer guidance on how to navigate the large body of work on LLMs, enhancing the ability of new researchers to engage with the field effectively.