analyze research papers at superhuman speed

Analyze research papers at superhuman speed

Search for research papers, get one sentence abstract summaries, select relevant papers and search for more like them, extract details from papers into an organized table.

Find themes and concepts across many papers

Don't just take our word for it.

Tons of features to speed up your research

Upload your own pdfs, orient with a quick summary, view sources for every answer, ask questions to papers, research for the machine intelligence age, pick a plan that's right for you, get in touch, enterprise and institutions, custom pricing, common questions. great answers., 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
• Learn about a new domain

Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.

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 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. 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 can you get in contact with the team?

Please email us at [email protected] or post in our Slack community if you have feedback or general comments! We log and incorporate all user comments. If you have a problem, please email [email protected] and we will try to help you as soon as possible.

What happens to papers uploaded to Elicit?

When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.

How accurate is Elicit?

Training our models on specific tasks, searching over academic papers, making it easy to double-check answers, save time, think more. try elicit for free..

Elicit Analyze research papers at superhuman speed

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• Development,
• Productivity,

#academic search

#literature synthesis

#Data Extraction

#Machine Learning

#research automation

#empirical research support

What is Elicit?

Elicit offers a revolutionary platform tailored for researchers to manage and accelerate their research process by leveraging automation to perform typically time-consuming tasks. It enables users to search for relevant academic papers , obtain one-sentence abstract summaries , and extract details into tables for efficient organization and analysis. Additionally, the tool assists in synthesizing vast amounts of data to uncover themes and concepts across various research materials, thus facilitating a comprehensive understanding of the chosen subject.

The Discover feature within Elicit provides immediate access to a database of over 200 million research papers, helping to surface highly relevant literature based on user inquiries. Meanwhile, the Synthesis aspect aids in identifying broad patterns and generating synthesized lists of specific details from numerous papers, optimizing the research efficiency for empirical domains such as biomedicine and machine learning.

• Natural language search across 200 million papers: Simplifies the paper discovery process with AI
• Data extraction automation: Reduces time and cost by 50% compared to manual methods
• Literature reviews
• Systematic reviews
• Meta-analyses
• Field exploration
• Research work automation

Your AI mate for rapid insights and comprehensive research.

Streamline your research process with Tavily AI – the platform that offers accurate, speedy, and comprehensive research solutions.

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Glean is an advanced AI-powered enterprise search and knowledge discovery tool that helps businesses find the information they need faster, make more informed decisions, and improve workplace productivity.

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AI Search Engine for Research

Consensus is an advanced AI-powered search engine designed to deliver comprehensive insights from over 200 million scientific research papers.

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Unriddle is an AI-powered tool designed to aid in document analysis, information summarization, and efficient writing, targeting researchers and students of all fields.

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Discover, evaluate, and understand scientific articles through Smart Citations.

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Chapterize.ai offers a quick and efficient way to summarize books, videos, papers, and articles, condensing them into key messages and saving time for its users.

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Analyze research papers faster with Elicit. Automate tasks like summarizing papers, extracting data, and synthesizing findings.

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Elicit: Unleash your research potential with superhuman speed

Maziar Foroudian

March 20, 2024

Elicit is a powerful business tool designed to help researchers analyze research papers at an incredibly rapid pace. By automating time-consuming research tasks such as summarizing papers, extracting data, and synthesizing findings, Elicit aims to streamline the research process and increase efficiency.

With a database of over 200 million research papers, users can ask a research question and receive a list of relevant papers in response. Elicit provides users with one-sentence abstract summaries, allowing them to quickly identify and select papers of interest. Users can then extract details from these papers into an organized table, making it easier to find themes and concepts across all the papers.

One of the key features of Elicit is its ability to reduce hallucination and increase accuracy when extracting data from research papers. By training their models on specific tasks, fine-tuning them on a per-task basis, and constantly iterating to improve accuracy, Elicit aims to provide users with reliable and trustworthy information. Additionally, Elicit only shows papers that exist in the scientific literature, making it easier for users to double-check answers and verify the information.

Researchers can benefit from using Elicit in a variety of ways, such as speeding up the literature review process, finding papers that may not be available elsewhere, automating systematic reviews and meta-analyses, and learning about new domains. Elicit is particularly effective for empirical domains that involve experiments and concrete results, such as biomedicine and machine learning.

Over 800,000 researchers have already tried Elicit and have found it to be a valuable tool for enhancing their research process. By utilizing Elicit, researchers can save time, increase accuracy, and discover valuable insights from the vast array of research papers available.

Elicit – Features

• Analyze research papers at superhuman speed
• Search for research papers
• Get one sentence abstract summaries
• Extract details from papers into an organized table
• Find themes and concepts across all the papers
• Upload your own PDFs
• Interface for asking a question
• Speed up literature review

Elicit – Pricing

Elicit offers a free Basic plan with limited credits. The Plus plan is $10/month or $120/year with more credits and features. Custom pricing is available for Enterprise and Institutions, with unlimited credits and additional functionalities for teams of 50+ people.

Visit elicit.com for more.

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Artificial Intelligence: AI-Powered Research Tools

• Generative AI
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• AI in Education
• AI-Powered Research Tools
• Instruct Modules This link opens in a new window

AI transforms research by streamlining workflows, automating tasks, and aiding analysis. It helps with:

AI finds relevant papers, suggests connections, and identifies trends.

AI crunches numbers, finds patterns, and presents clear visuals.

AI improves grammar, style, and even suggests rephrased sentences.

AI brainstorms ideas, outlines, and drafts content (be sure to cite and fact-check!).

AI facilitates communication across disciplines and institutions.

Be critical of AI results; verify information from trusted sources.

Cite AI-generated content properly to avoid plagiarism.

AI enhances research, it does not replace human expertise and critical thinking.

Text Generated by  Google Gemini

• ResearchRabbit
• Semantic Scholar
• Additional Tools

Analyze research papers at superhuman speed

• Elicit  seeks to assist users in conducting a literature review. 
• Elicit allows its users' to ask a research question; it then searches it's repository of over 200 million papers to find relevant papers to question. Of these papers, Elicit will extract key themes and concepts and provide a summary of key information from these in an "easy-to-use table." 
• In short, Elicit "automate[s] time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings.
• Pricing : 5,000 free credits and then $1 for 1,000 credits
• On Scholarcy and Ellicit : Scholarcy (all docs & flashcards) vs. Elicit (research focus): Summarize anything vs. deep dive into research papers. Same goal, different strengths. Ellicit is more research-focused. 

Check out this video below to see how Elicit can help you conduct a literature review. 

Find Scientific Literature with Elicit New AI Literature Search Workflow (New Elicit Beta)  from   Science Grad School Coach on  YouTube

• Consensus  is "a search engine that uses AI to find insights in research papers."
• A user types a question into the search bar, and Consensus searches 200 million papers for the answer.
• The search engine results give you summaries, consensus meters, and citation generators. They also tell you how often others have cited the article and allow you to save, export, and share. 
• Consensus citations can be linked with Zotero
• Pricing : Consensus has a free membership, a premium membership that is $9/month, and team memberships. They also give a 40% discount to students.

Check out the video below and the Consensus Blog for more information. 

How To Use Consensus AI - Don’t Get Left Behind!  from  Andy Stapleton on  YouTube

Where knowledge begins

• Perplexity calls itself a research assistant. It operates similarly to Chat-GPT in that you ask it natural language questions and it responds in kind. 
• Perplexity gives users a list of sources prior to providing a response. In the response, footnotes are used that link to the source. In this way, Perplexity provides citations for its responses.
• At the end of a response, Perplexity also provides a list of links to similar and related topics for researchers and users' to peruse.
• "Perplexity is your AI research assistant. It has a conversational interface, contextual awareness and personalization to learn your interests and preferences over time. Our goal is to make searching for information online with Perplexity feel like you have a knowledgeable assistant guiding you. One who knows what you care about and can explain things in a way you understand."
• Pricing : Free or $10/month for Pro membership

Check out this video to see how Perplexity  works. 

This Changes Online Searching & Research - Perplexity AI by  WPTuts  on YouTube

• Rayyan helps researchers organize, manage, and accelerate their collaborative systematic literature reviews.
• It enables authors to collaborate on projects to get article inclusion and exclusion suggestions.
• For students, Rayyan saves time and maximizes productivity when completing systematic reviews.
• For librarians, Rayyan makes your job easier by giving you powerful AI-backed tools to create, share, and organize systematic reviews, review teams, searches, and full texts.
• For researchers, Rayyan makes collaborative systematic reviews faster, easier, and more convenient. 
• Pricing : Rayyan has a free version, a professional version, and a $4/month student version. 

Check out the video below to see how Rayyan can help you during systematic reviews. 

Rayyan Reimagined | New Interface for Seamless Screening | Systematic Literature Reviews  from  Rayyan on  YouTube

• ResearchRabbit describes itself as "an innovative citation-based literature mapping tool."
• ResearchRabbit seeks to optimize your time searching for references as you begin planning an essay, project or literature review.
• It's concept is simple, a user uploads paper(s) they are interested in and the app finds other papers relevant to the topic of interest. 
• "Seed" (the uploaded papers) can be added to collections. ResearchRabbit will look through these collections and find papers that are even more relevant and improve its recommendations. 
• These collections can also be shared amongst peers where collaboration can occur. Group projects can be difficult and ResearchRabbit seeks to ease some of that burden.
• It is important to note that ResearchRabbit can be integrated with Zotero citation management software.  If you have already began a literature review or have a list of sources in Zotero, these can be directly uploaded to the ResearchRabbit website and serve as "seed" papers. 
• Pricing : Free for researchers. "Forever."

Check out the video below to see how ResearchRabbit allows you to visualize networks of papers. This type of graph gives new meaning to the idea of scholarship as conversation.

Homepage - Laptop - Panels from ResearchRabbit on Vimeo .

• Semantic Scholar is a free research tool powered by artificial intelligence for scientific literature. 
• It was developed at the Allen Institute for AI and publicly released in November 2015."At AI2, our mission is to contribute to humanity through high-impact AI research and engineering." Hence, the information you find on Semantic Scholar is both open and free.
• It uses advances in natural language processing to provide summaries for scholarly papers. "Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research."
• Semantic Scholar indexes over 200 million papers and it openly provides data records of these papers. 
• Pricing : Free

Check out their blog and the video below to see how Semantic Scholar can help you conduct research. 

Semantic Scholar - Product Demo by  Semantic Scholar  on YouTube

• Scholarcy  is an online summarizing tool that provides a convenient way to quickly assess and evaluate the importance of documents such as articles, reports, and book chapters.
• Fast summaries: Get the gist of any document in seconds, with important points laid out clearly.
• Effortless organization: Scholarcy automatically extracts references and links to open access sources and captures figures and tables for you.
• Build your knowledge base: Save summaries to your personal library, organize them into collections, and access them from anywhere with the free Chrome and Edge browser extensions.
• Free and premium options: The basic features are free, while a premium plan offers advanced organization and sharing tools for just $9.99/month.
• On Scholarcy and Ellicit : Scholarcy (all docs & flashcards) vs. Elicit (research focus): Summarize anything vs. deep dive into research papers. Same goal, different strengths. Scholarcy may be more helpful for student studying than Ellicit.

Check out the video below to see additional ways in which Scholarcy can help students. 

Studying can be hard: that's why there's Scholarcy!  from Scholarcy on YouTube .

• SciSpace  calls itself "an incredible (AI-powered) tool to help you understand research papers better. It can explain and elaborate most academic texts in simple words."
• Helps researchers conduct literature reviews
• Allows researchers to upload PDFs and ask questions about their content
• Extracts data from multiple papers into an easy-to-read table that summarizes and gives conclusions and key findings
• Paraphrases text
• SciSpace has lists of top papers by fields and years. It also has a list of trending questions.
• Pricing : Free basic version and a paid premium version.

Check out the video below to see how  S ciSpace can help you!

SciSpace — Do hours of research in minutes  from  SciSpace (formerly Typeset) on  YouTube

Check out  ITHAKA S+R - Generative AI Product Tracker  for AI-powered research tools.  Here, you will find a repository of  AI tools marketed towards or used by postsecondary faculty or students for teaching, learning, or research activities. The tracker is a "living document" updated regularly as new products or new information on existing products becomes available. 

• ExplainPaper —"The Fastest Way to Read Research Paper. Upload a paper, highlight confusing text, and get an explanation. We make research papers easy to read."
• Quillbot Paraphraser —Use QuillBot's Paraphraser to write more effectively, quickly, and intelligently. With a single button click, you can easily rework any sentence, paragraph, essay, or article to your preferred style with our free and user-friendly rewording tool, which offers a plethora of customization and editing choices.
• Scite —Scite uses Smart Citations to find and assess scientific articles. With Smart Citations, readers can view how a publication has been cited, along with its context and a classification that indicates whether the citation offers evidence in favor of or against the cited assertion.
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Analyze research papers at superhuman speed

A research assistant that automates and streamlines time-consuming research tasks, such as summarizing papers, extracting data, and synthesizing findings

Andreas Stuhlmüller

Using the Semantic Scholar API, Elicit can search across 200+ million papers covering all academic disciplines to find and sort relevant papers, as well as find themes and concepts across all papers.

Elicit's approach to language models reduces hallucination and increases accuracy, while making it easy to double-check answers and point back to original source papers. Over 800,000 researchers have tried Elicit already to speed up literature review, find papers they couldn't find elsewhere, automate systematic reviews and meta-analyses, and learn about new domains.

You can try Elicit for free at Elicit.com .

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Analyze research papers at superhuman speed

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Assessing Superhuman Speed as a Gamified Reward in a Virtual Reality Bike Exergame

Research output : Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

This research presents a Virtual Reality (VR) bike exergame system consisting of a stationed road bike, four novel virtual steering methods, two in-game superhuman speed reward ideas, and a pedalling system simulating real-life resistance. A study is conducted to understand how virtual speed can be used as a reward to encourage enjoyment in physical activities. The result suggests that adding reward-based superhuman speed positively impacts user enjoyment. Adding steering control and increasing speed potentially do not inhibit greater motion sickness symptoms using well-aligned physical-to-virtual input and output representations.

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• Human-Computer Interaction
• Computer Graphics and Computer-Aided Design

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• 10.1145/3544549.3585730

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T1 - Assessing Superhuman Speed as a Gamified Reward in a Virtual Reality Bike Exergame

AU - McDade, Jeremy

AU - Jing, Allison

AU - Stanton, Tasha

AU - Smith, Ross

N1 - Publisher Copyright: © 2023 Owner/Author.

PY - 2023/4/19

Y1 - 2023/4/19

N2 - This research presents a Virtual Reality (VR) bike exergame system consisting of a stationed road bike, four novel virtual steering methods, two in-game superhuman speed reward ideas, and a pedalling system simulating real-life resistance. A study is conducted to understand how virtual speed can be used as a reward to encourage enjoyment in physical activities. The result suggests that adding reward-based superhuman speed positively impacts user enjoyment. Adding steering control and increasing speed potentially do not inhibit greater motion sickness symptoms using well-aligned physical-to-virtual input and output representations.

AB - This research presents a Virtual Reality (VR) bike exergame system consisting of a stationed road bike, four novel virtual steering methods, two in-game superhuman speed reward ideas, and a pedalling system simulating real-life resistance. A study is conducted to understand how virtual speed can be used as a reward to encourage enjoyment in physical activities. The result suggests that adding reward-based superhuman speed positively impacts user enjoyment. Adding steering control and increasing speed potentially do not inhibit greater motion sickness symptoms using well-aligned physical-to-virtual input and output representations.

UR - http://www.scopus.com/inward/record.url?scp=85158167717&partnerID=8YFLogxK

U2 - 10.1145/3544549.3585730

DO - 10.1145/3544549.3585730

M3 - Conference contribution

AN - SCOPUS:85158167717

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

Y2 - 23 April 2023 through 28 April 2023

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Computer Science > Machine Learning

Title: humanly certifying superhuman classifiers.

Abstract: Estimating the performance of a machine learning system is a longstanding challenge in artificial intelligence research. Today, this challenge is especially relevant given the emergence of systems which appear to increasingly outperform human beings. In some cases, this "superhuman" performance is readily demonstrated; for example by defeating legendary human players in traditional two player games. On the other hand, it can be challenging to evaluate classification models that potentially surpass human performance. Indeed, human annotations are often treated as a ground truth, which implicitly assumes the superiority of the human over any models trained on human annotations. In reality, human annotators can make mistakes and be subjective. Evaluating the performance with respect to a genuine oracle may be more objective and reliable, even when querying the oracle is expensive or impossible. In this paper, we first raise the challenge of evaluating the performance of both humans and models with respect to an oracle which is unobserved. We develop a theory for estimating the accuracy compared to the oracle, using only imperfect human annotations for reference. Our analysis provides a simple recipe for detecting and certifying superhuman performance in this setting, which we believe will assist in understanding the stage of current research on classification. We validate the convergence of the bounds and the assumptions of our theory on carefully designed toy experiments with known oracles. Moreover, we demonstrate the utility of our theory by meta-analyzing large-scale natural language processing tasks, for which an oracle does not exist, and show that under our assumptions a number of models from recent years are with high probability superhuman.

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