This paper introduces LLAssist, an open-source tool designed to streamline literature reviews in academic research. In an era of exponential growth in scientific publications, researchers face mounting challenges in efficiently processing vast volumes of literature. LLAssist addresses this issue by leveraging Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to automate key aspects of the review process. Specifically, it extracts important information from research articles and evaluates their relevance to user-defined research questions. The goal of LLAssist is to significantly reduce the time and effort required for comprehensive literature reviews, allowing researchers to focus more on analyzing and synthesizing information rather than on initial screening tasks. By automating parts of the literature review workflow, LLAssist aims to help researchers manage the growing volume of academic publications more efficiently.

翻译：本文介绍了LLAssist——一款旨在优化学术研究中文献综述流程的开源工具。在科学出版物呈指数级增长的时代，研究人员面临着高效处理海量文献的严峻挑战。LLAssist通过利用大型语言模型（LLMs）和自然语言处理（NLP）技术，实现了文献综述关键环节的自动化，从而应对这一难题。具体而言，该工具能够从研究论文中提取重要信息，并评估其与用户定义的研究问题的相关性。LLAssist的目标是显著减少完成全面文献综述所需的时间和精力，使研究人员能够更专注于信息分析与综合，而非初步筛选工作。通过自动化文献综述工作流中的部分环节，LLAssist致力于帮助研究者更高效地管理日益增长的学术出版物。