Elicit
Analyze research papers and extract data at superhuman speed
Target Audience
- Academic researchers
- Biomedical scientists
- Systematic review teams
- Machine learning practitioners
Hashtags
Overview
Elicit helps researchers automate literature reviews by searching 125 million academic papers and extracting key information. It summarizes findings, organizes data into tables, and identifies patterns across studies - cutting manual work by 50% while maintaining source verification.
Key Features
Natural Language Search
Ask research questions in plain English instead of keywords
Bulk Paper Analysis
Process multiple PDFs simultaneously for cross-study insights
Source Verification
Trace every answer back to original paper excerpts
PDF Interrogation
Upload documents and ask specific questions about content
Use Cases
Accelerate literature reviews
Conduct systematic reviews
Explore new research domains
Extract experimental data
Pros & Cons
Pros
- Access to 125M-paper database
- Saves 5+ hours/week per researcher
- Specialized for empirical studies
- Maintains academic source transparency
Cons
- Limited effectiveness for theoretical research
- 90% accuracy requires human verification
- No non-academic data sources
Frequently Asked Questions
What types of research is Elicit best for?
Works best for empirical domains with concrete results like biomedicine and machine learning research
Can Elicit answer non-academic questions?
No - only surfaces information from published academic papers
How accurate are the results?
About 90% accurate - users must verify against original sources
Where does Elicit get its papers?
From Semantic Scholar's corpus of 125 million academic papers
Integrations
Reviews for Elicit
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