Elicit uses semantic search to find relevant papers based on research questions, not just exact keyword matches, often surfacing studies traditional search might miss.
For many papers, Elicit can extract summaries, outcomes, and methodological details into structured tables, reducing manual skimming time.
Users can group and tag papers, compare study results side by side, and cluster literature by themes or findings.
Elicit can export references in formats useful for citation managers, though you should still clean and verify metadata in tools like Zotero or Mendeley.
Rather than starting from a list of keywords, researchers frame questions and build iterative queries, allowing Elicit to suggest alternative angles and related topics.
Graduate students and supervisors use Elicit to quickly identify and organize relevant papers before conducting deeper reading and analysis.
Teams working on education policy or edtech products use Elicit to find empirical studies that inform feature design, interventions, or impact hypotheses.
Researchers moving into adjacent domains use Elicit to discover seminal papers and recent overviews, then follow citation trails manually.
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