Revolutionizing Research, One Article at a Time

Primary Use

Elicit is an AI-powered research assistant that revolutionizes the research process by harnessing machine learning capabilities to automate various aspects of research workflows. This tool is particularly proficient in assisting users with literature reviews, enabling them to find relevant articles, extract key insights, and streamline their research tasks.

Its primary focus is automating literature reviews due to the following reasons:

  • Synthesizing Literature: Literature reviews are crucial for understanding the existing body of knowledge.
  • Expanding the Horizon: A literature review lays the foundation for future research endeavors.
  • User Demand: Researchers often seek assistance with literature reviews, making it a prime area for improvement.

Key Features of Elicit:

  • Efficient Article Retrieval: Elicit employs language models to locate pertinent academic papers, even without an exact keyword match.
  • Extracting Key Information: Elicit can swiftly extract critical information from identified papers, making it easier for users to comprehend and utilize findings.
  • Summarization: The tool can succinctly summarize paper takeaways, ensuring users quickly grasp essential concepts specific to their inquiries.
  • Diverse Research Tasks: Beyond literature reviews, Elicit aids users in tasks like brainstorming, summarization, and text classification.
  • Customization: Users can modify search parameters, allowing them to tailor results to their specific research goals.
  • Seamless User Experience: With a user-friendly interface, Elicit optimizes the research process for both novices and experts.

Elicit’s journey starts with the discovery of academic papers, followed by queries and the summarization of findings. However, Elicit’s scope is not limited to literature reviews; it intends to expand into diverse research tasks and beyond, aiding in various organizational and decision-making processes.

Elicit functions as a research assistant driven by GPT-3 language models, catering to researchers’ specific needs. Upon inputting a research question, Elicit provides relevant papers alongside summarized key information in a user-friendly table format. This streamlines the research process, offering a quick overview of essential articles.

Elicit is a time-saver that researchers can greatly benefit from. Its capabilities save an average of 1.4 hours per week. 

Some of the tasks Elicit assists with include:

  • Rapid Paper Identification: Quickly locate papers on a particular research topic.
  • Efficient Organization: Analyze and categorize multiple papers, including those uploaded by users.
  • Summarization: Summarize evidence from highly-cited papers on a research subject.
  • Brainstorming: Facilitate the generation of research questions.
  • Enhanced Terminology: Identify and define terms.
  • Refined Direction: Narrow down or adjust research focus.

Elicit offers a straightforward interface, guiding users through each step of the research process. Researchers can input queries, view summarized findings, and compare them with full-text papers. Filters allow users to tailor results, while additional functionalities like sorting and exporting results enhance usability.

By using Elicit, a researcher aiming to explore the utility of ChatGPT in academic writing development was able to efficiently create a literature review. Elicit’s features facilitated quick paper identification and organization, enabling the user to summarize findings for easy reference. The user could customize the table’s columns, enhancing the relevance of information presented.

In a Nutshell: Elicit transforms the research landscape by harnessing AI’s capabilities to streamline workflows, starting with literature reviews. Its AI-driven features empower researchers to efficiently locate, extract, and summarize information, significantly enhancing productivity. Elicit’s ambition is to expand its scope to diverse research tasks and beyond, ensuring that researchers stay at the forefront of knowledge.

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