Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning

arXiv:2402.10409v1 Announce Type: cross
Abstract: As new research on Large Language Models (LLMs) continues, it is difficult to keep up with new research and models. To help researchers synthesize the new research many have written survey papers, but even those have become numerous. In this paper, we develop a method to automatically assign survey papers to a taxonomy. We collect the metadata of 144 LLM survey papers and explore three paradigms to classify papers within the taxonomy. Our work indicates …

abstract arxiv become cs.ai cs.cl cs.ir cs.lg graph graph representation language language models large language large language models llms paper papers representation representation learning research researchers survey taxonomy type understanding via