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Elicit

AI research assistant that finds academic papers, extracts key findings, and summarizes evidence for literature reviews. Elicit searches semantic scholar databases and organizes results in tables.

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How it works / How to use

AI research assistant that finds academic papers, extracts key findings, and summarizes evidence for literature reviews. Elicit searches semantic scholar databases and organizes results in tables.

  1. Enter your research question in Elicit.
  2. Specify scope (time range, domain, paper types) and output format.
  3. Open cited sources to verify claims before using them in writing.
  4. Save or export the reading list or summary for your workflow.

How to prompt

Elicit's structured extraction accelerates systematic literature reviews.

Find papers on intermittent fasting and cognitive performance published since 2020. Extract sample size, methods, and main findings into a table.

Best output tips

  • Narrow date ranges and domains to reduce noise.
  • Open primary sources behind every important claim.
  • Export bibliographies instead of copying unattributed text.
  • Verify current plans and limits on the official Elicit website.

Try this AI

Try Elicit

Product Details

Pricing, features, limits and latest updates

Elicit

AI research assistant that finds academic papers, extracts key findings, and summarizes evidence for literature reviews. Elicit searches semantic scholar databases and organizes results in tables.

No listed price

Pricing Plans

No listed plans.

Key Features

Chat

chat workflow (elicit.com).

Ideas / Prompt experiences

Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.

Example prompt

Literature review table

Prompt

Find papers on intermittent fasting and cognitive performance published since 2020. Extract sample size, methods, and main findings into a table.

Short explanation

Elicit's structured extraction accelerates systematic literature reviews.

Example prompt

Evidence synthesis

Prompt

What does the research say about LLM fine-tuning vs RAG for domain-specific QA? Summarize consensus and open questions.

Short explanation

Research questions with clear scope yield better paper sets in Elicit.

Share your experience

Required fields are marked. Variation, result, and explanation are optional.

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