Apprentices to Research Assistants: Advancing Research with Large Language Models

arXiv:2404.06404v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and efficiency, challenges such as prompt tuning, biases, and subjectivity must be addressed. The study presents insights from experiments utilizing LLMs for qualitative analysis, highlighting successes and limitations. Additionally, it discusses strategies for mitigating challenges, such as prompt optimization techniques and leveraging human expertise. …

abstract article arxiv assistants benefits biases challenges cost cs.ai cs.hc cs.lg domains efficiency experimentation language language models large language large language models literature llms prompt prompt tuning research review through tools type