Large Language Models for Data Annotation: A Survey

arXiv:2402.13446v1 Announce Type: new
Abstract: Data annotation is the labeling or tagging of raw data with relevant information, essential for improving the efficacy of machine learning models. The process, however, is labor-intensive and expensive. The emergence of advanced Large Language Models (LLMs), exemplified by GPT-4, presents an unprecedented opportunity to revolutionize and automate the intricate process of data annotation. While existing surveys have extensively covered LLM architecture, training, and general applications, this paper uniquely focuses on their specific utility for …

annotation arxiv cs.cl data data annotation language language models large language large language models survey type