Elicit

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Elicit helps researchers quickly analyze and summarize research papers, saving time and providing valuable insights.

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What is Elicit?

Elicit is a research tool designed to help researchers analyze papers more efficiently. It allows users to search for research papers, access one-sentence abstract summaries, and extract key details from papers. Elicit also aids in synthesizing information from multiple sources and is endorsed by researchers in various fields for its ability to save time and provide valuable insights. The tool enables users to upload PDFs for analysis, ask questions directly to research papers, and search across a vast database of academic papers using natural language. It is particularly useful for speeding up literature reviews, finding papers, automating reviews, and learning about new domains in empirical research areas such as biomedicine and machine learning.

Who created Elicit?

Elicit was created by Andreas Stuhlmüller, who is the Co-founder and CEO of the company. Before starting Elicit, Andreas was a postdoctoral researcher in Noah Goodman's Computational Cognitive Science lab at Stanford. He co-created WebPPL, a programming language for probabilistic machine learning .

What is Elicit used for?

Speed up literature review
Find papers they couldn’t find elsewhere
Automate systematic reviews and meta-analyses
Learn about a new domain
Identify important information within research papers
Save time by automating data extraction
Search and extract key details from academic papers
Facilitate synthesis of information from multiple papers
Discover themes and concepts across research papers
Enhance research efficiency
Identify themes and concepts across many papers
Extract details from papers into an organized table
Automate time-consuming research tasks like summarizing papers
Facilitate the identification of themes and concepts across multiple papers
Compile lists of desired information synthesized from various sources
Enhance research efficiency by saving time
Identifying themes and concepts across multiple papers
Compiling lists of information from various sources
Research in empirical domains like biomedicine and machine learning
Search across a vast database of academic papers using natural language
Extract details from papers and organize into structured tables
Ask questions directly to research papers

Who is Elicit for?

Machine learning engineer
Administrative Assistant
Machine Learning Intern
Software Engineer Intern
AI Engineer
Researchers
Quantum Physicists
Computer Scientists
Biotechnologists
Consultants
Authors
Cognitive Psychologists
HCI Professors

How to use Elicit?

To use Elicit effectively, follow these steps:

Discovery:
- Search for research papers by asking questions.
- Access one-sentence abstract summaries and select relevant papers.
- Explore more papers similar to the selected ones.
- Extract key details from papers and organize them into a structured table.
Synthesis:
- Identify themes and concepts across multiple papers.
- Compile lists of desired information synthesized from various sources for comprehensive insights.
Features:
- Upload your PDFs for analysis.
- Directly ask questions to research papers.
- Save time and reduce costs by automating data extraction.
- Search the extensive database of academic papers using natural language.
Elicit Plus:
- Subscription offering with features and monthly credits.
- Allows the use of up to 12,000 credits per month, which do not carry forward.
- Subscriptions auto-renew monthly.
Accuracy:
- Approximately 90% accuracy in the information provided.
- Users should verify information closely, with all sources identified.
Usage:
- Commonly utilized to speed up literature reviews, find elusive papers, automate reviews, and learn about new domains.
- Excellent for empirical research domains involving experiments and concrete results.

By following these steps and utilizing the key features of Elicit, researchers can streamline their research process, access valuable insights, and save significant time and effort.

Remember, Elicit works best for empirical domains and is designed to enhance the efficiency of research tasks involving academic papers.

Pros

Save time by speeding up literature review
Extract details from papers at 50% of the time and cost of manual methods
Search across 125 million academic papers using natural language
Save up to 5 hours per week using Elicit
Trusted by over 2 million researchers
Endorsed by researchers from various fields
Learn about new domains efficiently
Automate systematic reviews and meta-analyses
Find papers not accessible elsewhere
Top priority customer support

Cons

Not suitable for answering questions that are not addressed in academic papers
There could be constraints in the scope of information retrieval compared to other AI tools in a similar industry.
Users might find that Elicit's pricing structure does not match their budget or justify the value provided.
There may be limitations in the types of data that Elicit can effectively search over.
Some users may find that Elicit lacks certain features found in other AI tools in the market.
Elicit's focus on academic papers may limit its utility for broader information needs.

Pros

Cons

Save time by speeding up literature review
Extract details from papers at 50% of the time and cost of manual methods
Search across 125 million academic papers using natural language
Save up to 5 hours per week using Elicit
Trusted by over 2 million researchers
Endorsed by researchers from various fields
Learn about new domains efficiently
Automate systematic reviews and meta-analyses
Find papers not accessible elsewhere
Top priority customer support

Not suitable for answering questions that are not addressed in academic papers
There could be constraints in the scope of information retrieval compared to other AI tools in a similar industry.
Users might find that Elicit's pricing structure does not match their budget or justify the value provided.
There may be limitations in the types of data that Elicit can effectively search over.
Some users may find that Elicit lacks certain features found in other AI tools in the market.
Elicit's focus on academic papers may limit its utility for broader information needs.

Elicit FAQs

What is Elicit not a good fit for?: Elicit does not currently answer questions or surface information that is not written about in an academic paper. It tends to work less well for identifying facts (e.g. "How many cars were sold in Malaysia last year?") and in theoretical or non-empirical domains.

What types of data can Elicit search over?: Elicit searches across 125 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, Elicit will use the full text if available or the abstract if not.

How accurate are the answers in Elicit?: A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, it’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.

What is Elicit Plus?: Elicit Plus is Elicit's subscription offering, which comes with a set of features, as well as monthly credits. On Elicit Plus, you may use up to 12,000 credits a month. Unused monthly credits do not carry forward into the next month. Elicit Plus subscriptions auto-renew every month.

What are credits?: Elicit uses a credit system to pay for the costs of running our app. When you run workflows and add columns to tables it will cost you credits. When you sign up you get 5,000 credits to use. Once those run out, you'll need to subscribe to Elicit Plus to get more. Credits are non-transferable.

How do researchers use Elicit?: Over 2 million researchers have used Elicit. Researchers commonly use Elicit to speed up literature review, find papers they couldn’t find elsewhere, automate systematic reviews and meta-analyses, and learn about a new domain.