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Semantic Scholar
Free AI-powered academic search engine across 200M+ papers.
About Semantic Scholar
Semantic Scholar, built by the Allen Institute for AI, is a free research tool that searches 200M+ academic papers with AI-powered relevance ranking. TLDR summaries give a one-sentence synopsis of every paper. Research Feeds personalise your discovery based on interests. Entirely free — funded by the Allen Institute as a public resource.
Key features
- 200M+ paper database with AI relevance ranking
- TLDR — one-sentence AI paper summaries
- Citation network visualisation
- Personalised research feeds
- Open API for developers
Pros & limitations
Pros
- Completely free — no paywall
- TLDR summaries save time on screening
- Citation network is unique for finding related work
Limitations
- Less synthesis capability than Elicit
- No PDF annotation tools
Alternatives
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