Semantic Scholar
Free, AI-powered scientific literature search engine developed by the Allen Institute for AI to index global research.
AI research and knowledge tools.
Free, AI-powered scientific literature search engine developed by the Allen Institute for AI to index global research.
Visual exploration tool that builds interactive graphs of related scientific papers based on co-citation and similarity.
The 'Spotify for academic papers'—an intuitive canvas to map citation networks, follow authors, and get alerts.
Comprehensive research platform with interactive Copilot to decode complex equations, charts, and technical jargon.
Online article summarizer that converts long academic papers and book chapters into structured summary flashcards.
Literature review software that maps scientific citation networks chronologically and alerts you to newly published research.
Enterprise scientific research engine that extracts facts, evaluates hypotheses, and automates systematic literature reviews.
AI literature summarizer that provides 3-minute executive summaries of AI and scientific conference papers.
AI research assistant that searches, summarizes, and answers questions across hundreds of scientific papers with verified citations.
AI grammar, tone, and technical writing checker trained on millions of peer-reviewed journal papers.
Free, open catalogue of the world's research system with 250M+ scientific works and citations.
Curated paper discovery and recommendation engine built to filter through daily ArXiv preprints.
AI-assisted screening tool for systematic literature reviews, clinical trials, and meta-analyses.
Recommends relevant research papers based on the text of your active Word document or thesis draft.
Fast paper summarizer that extracts key claims, graphs, and citations from complex academic PDFs.
Connects 140M+ research publications with grants, clinical trials, patents, and policy documents.
Visual knowledge management workspace that combines nested whiteboards, markdown cards, and PDF annotations for complex research.
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We test whether the tool delivers reproducible, state-of-the-art results for core tasks or merely wraps baseline APIs without domain-specific reasoning or prompt engineering.
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