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Elicit is a tool commonly used by researchers to speed up literature reviews, find papers that may be challenging to locate elsewhere, automate systematic reviews and meta-analyses, and explore new domains. It is particularly effective for empirical research areas that involve experiments and tangible results, such as biomedicine and machine learning. However, Elicit is not well-suited for answering questions or providing information that is not documented in academic papers. It is less effective for identifying specific facts or for use in theoretical or non-empirical domains. Elicit searches across 125 million academic papers from the Semantic Scholar corpus, covering a wide range of academic disciplines.
Elicit was created by its founder, Allen Ross. The company specializes in extracting, organizing, and synthesizing data for research purposes.
To use Elicit effectively, follow these steps:
Purpose: Elicit is beneficial for researchers to speed up literature reviews, locate papers unavailable elsewhere, automate systematic reviews and meta-analyses, and explore new domains, particularly in empirical fields like biomedicine and machine learning.
Limitations: Elicit is not suitable for providing answers or information outside academic papers and may not perform well in answering factual questions like statistics or numbers.
Usage: Researchers can leverage Elicit by inputting their research queries or topics of interest to discover relevant academic papers efficiently.
Results: Elicit provides researchers with a curated selection of papers matching their search criteria, allowing them to access valuable information quickly for their research projects.
Optimization: To enhance search results, researchers can use specific keywords, phrases, or filters to narrow down the focus and find the most relevant papers for their research needs.
By following these steps, researchers can effectively utilize Elicit to streamline their literature review process, access hard-to-find papers, and gain insights in various empirical domains.
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