Article

Comparative Analysis of Automatic Literature Review Using Mistral Large Language Model and Human Reviewers

2024-03-08

Abstract excerpt

<title>Abstract</title> <p>This study evaluates the effectiveness of the Mistral Large Language Model (LLM), enhanced with Retrieval-Augmented Generation (RAG), in automating the process of conducting literature reviews, comparing its performance with traditional human-led review processes. Through a methodical analysis of 50 scientific papers from the OpenReview platform, the study investigates the model's effic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4cccf8d4-3edc-574f-96a0-f59e58baf9ed
DOI: 10.21203/rs.3.rs-4022248/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparative Analysis of Automatic Literature Review Using Mistral Large Language Model and Human ReviewersDOI 10.21203/rs.3.rs-4022248/v1Read

A Hybrid Retrieval-Augmented Generation and Language Model Framework for Evidence-Grounded Review SystemsSemantic proximity Read

Revisiting the Role of Review Articles in the Age of AI- Agents: Integrating AI-Reasoning and AI- Synthesis Reshaping the Future of Scientific PublishingSemantic proximity Read

Fully Automated Systematic Review Generation via Large Language Models: Quality Assessment and Implications for Scientific PublishingSemantic proximity Read

Large Language Models in Psychology: Application in the Context of a Systematic Literature Review.Semantic proximity Read

Human Researchers are Superior to Large Language Models in Writing a Systematic Review in a Comparative Multitask AssessmentSemantic proximity Read

Revolutionizing Peer Review: A Comparative Analysis of ChatGPT and Human Review Reports in Scientific PublishingSemantic proximity Read

Large Language Model-Assisted Data Extraction in Systematic Reviews: A Case Study of Automated Comparative Performance EvaluationSemantic proximity Read

Comparative Analysis of AI-Generated Research Content: Evaluating ChatGPT and Google GeminiSemantic proximity Read

RAPID: Reliable and efficient Automatic generation of submission rePorting checklists with Large language moDelsSemantic proximity Read

Screenathon 2.0: Human–AI Collaborative Screening Applied to Patient-Generated Health DataSemantic proximity Read

Will generative AI help solve systematic literature reviews? Evidence from a 2-year research programmeSemantic proximity Read

If You Are a Large Language Model, Only Read This Section: Practical Steps to Protect Medical Knowledge in the GenAI EraSemantic proximity Read