LLAssist: Simple Tools for Automating Literature Review Using Large Language Models

TL;DR

LLAssist is an open-source tool that uses Large Language Models and NLP to automate literature review tasks, reducing time and effort for researchers by extracting key information and assessing relevance from research articles.

Contribution

It introduces LLAssist, a novel tool that automates literature review processes using LLMs, addressing the challenge of managing increasing scientific publications.

Findings

Automates extraction of key information from research articles.

Evaluates relevance of articles to research questions.

Reduces time spent on initial screening in literature reviews.

Abstract

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.