
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.
Elicit has significantly streamlined my literature review process. The ability to search through 125 million academic papers is a game changer for researchers like me who often struggle to find relevant studies. The automatic extraction of key insights allows me to focus on analyzing rather than just hunting for data.
While Elicit is fantastic for empirical research, I find it less useful for theoretical frameworks. It would be great if it could also help in synthesizing non-empirical findings or provide more comprehensive summaries of qualitative studies.
Elicit saves me hours of manual searching and data extraction. It allows me to quickly compile systematic reviews, which is crucial for my deadlines. The time saved translates into better quality work, as I can dedicate more time to interpreting results.
The user interface is intuitive and easy to navigate. I appreciate how quickly I can find relevant literature without getting overwhelmed by too much information. The filtering options allow me to zero in on the studies most pertinent to my work.
I wish Elicit had better integration options with reference management tools like Zotero or Mendeley. Currently, transferring references is a bit tedious, which takes away from the overall efficiency.
Elicit helps me efficiently conduct meta-analyses by automating the literature search and data extraction processes. This automation reduces the risk of human error and increases the reliability of my findings, which is essential for my research credibility.
Elicit's ability to pull up academic papers that I wasn't aware of is impressive. It's helped me discover relevant studies that significantly enhance my research. The system's capability to summarize findings is also a great time saver.
Sometimes, the search results can be too broad, and I have to refine my queries multiple times to get the most relevant papers. A more sophisticated search algorithm could improve the experience.
Elicit helps me tackle the overwhelming amount of literature in my field. By automating systematic reviews, I can focus more on the analysis and implications of my findings rather than getting bogged down in the initial search and data collection stages.