Elicit: Make Your AI Research More Productive
For streamlined research workflows in AI, Elicit is the premier tool that combines the power of an AI Research Assistant with cutting-edge technology, helping you elicit the most accurate and comprehensive data for your projects.
Table of Content
- Introduction
- Price
- Website
- Use cases
- Pros
- Cons
- Practical Advice
- FAQs
- Case Study
- People Also Searched
Elicit Introduction
Meet Elicit, your advanced AI Research Assistant revolutionizing the way you delve into scholarly realms. Unveiling its latest version, Elicit boasts cutting-edge workflows designed to effortlessly extract valuable data from a plethora of PDFs. Seamlessly navigating the intricate landscape of literature review, Elicit employs language models to uncover relevant papers, even without a perfect keyword match. Elevate your research game as Elicit not only answers your queries with precision but also aids in brainstorming, summarization, and text classification. Experience the future of research with Elicit – where efficiency meets innovation.
Price
Freemium
Website
Elicit Use cases
Use Case 1: Speed up literature review
Researchers can use Elicit to quickly extract relevant information from research papers, speeding up the literature review process. By training the language models on specific tasks and searching over academic papers, Elicit helps researchers find the key insights and data they need for their review.
Use Case 2: Find papers they couldn’t find elsewhere
Elicit enables researchers to discover papers that may not be easily accessible through traditional search methods. By searching across 200 million academic papers from the Semantic Scholar corpus, Elicit provides researchers with a comprehensive database to explore and find relevant papers for their research.
Use Case 3: Automate systematic reviews and meta-analyses
Elicit can assist in automating systematic reviews and meta-analyses by extracting relevant data from numerous research papers. Researchers can use Elicit to quickly identify and summarize key findings from multiple studies, saving time and effort in the review process.
Use Case 4: Learn about a new domain
Researchers who want to explore a new domain can use Elicit to gather information and learn about the latest research in that field. By extracting data and summarizing research papers, Elicit provides researchers with a comprehensive overview of a particular domain, helping them gain insights and knowledge.
Use Case 5: Fact-checking and verification
Elicit makes it easy for researchers to double-check the accuracy of information extracted from research papers. By providing access to the original source and indicating where specific information came from, researchers can verify the information and ensure its reliability.
Use Case 6: Access to a wide range of academic disciplines
Elicit searches across all academic disciplines, including biomedicine and machine learning. Researchers from various fields can use Elicit to search for relevant papers and extract data specific to their field of study.
Use Case 7: Privacy and security of uploaded papers
When researchers upload papers to analyze in Elicit, those papers remain private and are not shared with anyone else. This ensures the confidentiality and security of the research materials, giving researchers peace of mind while using the platform.
Overall, Elicit provides researchers with a powerful tool to extract data, summarize research papers, and accelerate the research process, ultimately enhancing the efficiency and effectiveness of literature review and data analysis tasks.
Elicit Pros
- Elicit uses language models to extract data from and summarize research papers.
- Training the models on specific tasks helps reduce hallucination and increase accuracy.
- Elicit only shows papers that actually exist and are part of the scientific literature, ensuring the reliability of the information.
- Elicit makes it easy to double-check answers by providing access to the original source and indicating where specific information came from in a paper.
- Researchers can use Elicit to speed up literature review, find papers they couldn’t find elsewhere, automate systematic reviews and meta-analyses, and learn about new domains.
- Elicit tends to work best for empirical domains involving experiments and concrete results, such as biomedicine and machine learning.
- Elicit may not be a good fit for identifying facts or answering questions not covered in academic papers, as it primarily focuses on empirical domains.
- Elicit searches across 200 million academic papers from the Semantic Scholar corpus, covering all academic disciplines.
- Approximately 90% of the information in Elicit is assumed to be accurate, but users are encouraged to check the work closely to ensure accuracy.
- Users can easily get in contact with the Elicit team through email or the Slack community to provide feedback or seek assistance.
- Papers uploaded to Elicit for analysis remain private to the user and are not shared with anyone else.
Elicit Cons
- There is a risk of inaccurate answers due to hallucination by the language models used in Elicit.
- The accuracy of the tool is dependent on the training and fine-tuning of the models on specific tasks, which may still result in some inaccuracies.
- While Elicit only shows papers that exist in the scientific literature, there is no guarantee that all relevant or up-to-date papers will be included in the search results.
- Although Elicit provides the option to view the original source and specific information from a paper, it is still necessary to manually verify the accuracy of the extracted data.
- Elicit may not be suitable for answering questions or providing information that is not covered in academic papers, making it less versatile for a wide range of topics and domains.
- There is a limitation in the types of data that Elicit can search over, as it is restricted to the 200 million academic papers from the Semantic Scholar corpus, which may not cover all disciplines comprehensively.
- While Elicit aims for accuracy, the answers provided should be assumed to be around 90% accurate, which still leaves room for potential errors and requires careful verification.
- Communicating with the Elicit team may be limited to email or the Slack community, which may result in delayed responses or lack of immediate support.
- Although papers uploaded to Elicit are guaranteed to remain private, it is important to ensure the security and privacy of sensitive or confidential information in the uploaded papers.
Practical Advice
- To effectively use Elicit, there are several practical tips to keep in mind:
1. Understand the technology: Elicit utilizes language models to extract data from research papers. Be aware that these models may sometimes provide inaccurate answers, known as hallucinations.
2. Familiarize yourself with the training process: Elicit fine-tunes its models for specific tasks and continuously improves their accuracy. This iterative process helps reduce hallucination.
3. Rely on reputable research: Elicit only displays papers that exist in the scientific literature. This ensures that the information you extract is sourced from credible academic papers.
4. Double-check answers: Elicit makes it easy for you to review the original source and pinpoint where specific information is derived from. Take advantage of this feature to verify the accuracy of the extracted data.
5. Determine suitable use cases: Elicit is commonly used to expedite literature reviews, find papers that may be overlooked elsewhere, automate systematic reviews and meta-analyses, and explore new domains. It excels in empirical domains involving experiments and concrete results, such as biomedicine and machine learning.
6. Understand limitations: Elicit may not be suitable for answering questions unrelated to academic papers or extracting information from non-empirical or theoretical domains. It also may not perform as well in identifying factual information unrelated to research.
7. Utilize the vast academic database: Elicit searches across 200 million academic papers from the Semantic Scholar corpus, covering various academic disciplines. It prioritizes full-text availability but uses abstracts when necessary.
8. Verify accuracy independently: While Elicit strives for accuracy, it is recommended to assume that around 90% of the information provided is accurate. Pay close attention to checking the work accurately, and take advantage of the identified sources to cross-verify information.
9. Provide feedback: If you encounter any issues or have suggestions, contact the Elicit team via the provided email address or join their Slack community. They value user feedback and continuously incorporate it into their improvements.
10. Prioritize privacy: Any papers uploaded to Elicit for analysis remain private and will not be shared with others, ensuring the confidentiality of your research material.
FAQs
How do researchers use Elicit?
Over 800,000 researchers have tried Elicit already. 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.
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 200 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, it 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 they strive to increase accuracy, it’s important to check the work in Elicit closely. They make it easier for you to identify all the sources for information generated with language models.
How can you get in contact with the team?
You can email the team at info@elicit.com or post in their Slack community. They log and incorporate all user comments. If you have a problem, you can email help@elicit.com and they will try to assist 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.
Case Study
Case Study: Elicit – Extracting and Summarizing Research Papers
Introduction
Elicit is a powerful tool that leverages language models to extract data from and summarize research papers. However, as with any new technology, language models may sometimes generate inaccurate answers, a phenomenon known as hallucination. This case study explores how Elicit addresses these challenges and ensures accuracy in its results.
Training Models on Specific Tasks
To mitigate hallucination and enhance accuracy, Elicit employs a fine-tuning approach, training its models on specific tasks. This allows the models to be continually iterated and refined, ensuring optimal performance and reducing inaccuracies.
Searching over Academic Papers
One key factor that sets Elicit apart is its commitment to providing users with papers that actually exist and are part of the scientific literature. By searching over a vast repository of 200 million academic papers, sourced from the Semantic Scholar corpus, Elicit ensures that the information extracted is grounded in verified and reliable sources.
Making Verification Easy
Elicit recognizes the importance of allowing users to double-check answers swiftly and effortlessly. The tool facilitates easy access to the original source of information and provides specific references within the papers to substantiate the generated results. This transparency empowers researchers to validate the accuracy of the extracted data easily.
Usage and Applicability
Over 800,000 researchers have already benefited from Elicit, utilizing it in a variety of ways. Researchers commonly employ Elicit to expedite literature reviews, discover papers that were previously inaccessible, automate systematic reviews, and gain insights into new domains of study. Elicit is particularly effective in empirical domains that involve concrete results and experimental research, such as biomedicine and machine learning.
Limitations
While Elicit offers impressive capabilities for extracting and summarizing information from academic papers, it is not suitable for answering questions or surfacing data that is not covered within the academic literature. The tool may also be less effective in identifying factual information or in theoretical and non-empirical domains.
Accuracy and Verification
Elicit strives to maintain a high level of accuracy, with approximately 90% of the information generated being deemed reliable. However, users are encouraged to closely check the results, as thorough verification is crucial. Elicit supports this endeavor by providing clear identification of the sources used to generate information utilising language models.
Contacting the Team
For any inquiries, feedback, or general comments, users can contact the Elicit team via email at info@elicit.com or by joining their Slack community. User feedback is highly valued, actively incorporated, and is instrumental in improving the tool’s performance. For assistance with any problems encountered, users can reach out to help@elicit.com, and the team will promptly address their concerns.
Confidentiality of Uploaded Papers
When researchers upload papers to be analyzed by Elicit, their privacy is prioritized. These papers remain entirely confidential and are not shared with any other individuals or parties.
In conclusion, Elicit’s use of language models and its commitment to accuracy, reliable sources, and easy verification make it a valuable tool for extracting and summarizing research papers. Researchers across various domains can harness the power of Elicit to expedite their work, access otherwise inaccessible papers, and automate systematic reviews effectively.