literature-reviewer

To generate a literature review from multiple academic papers, provide 2-10 documents via direct text, file paths, or paper titles. The analysis extracts research questions, methodologies, findings, datasets, and limitations to produce comparative tables and comprehensive review reports.

Identifying research gaps across several documents is done by comparing and contrasting extracted core information such as research questions, methods, findings, and limitations. This comparative analysis pinpoints areas where current research is lacking and highlights future directions.

Yes, you can use PDF and Word files for comparative document analysis by providing their file paths as input. The analysis supports direct text and file paths to extract core information from 2-10 documents for generating review tables and summary reports.

You can compare a minimum of 2 and a maximum of 10 papers at once for a literature review. Analyzing documents within this range allows the extraction of methodologies, findings, and limitations to generate structured comparative tables and comprehensive reports.

Yes, literature review generation works with paper titles or IDs through integrated search skills. Providing titles instead of full text allows the analysis to locate the documents, extract core information, and generate comparative tables and review reports.