AI-Based Literature Review Tools

AI-Based Literature Review Tools
Video free ai tools for research

Are you tired of sifting through mountains of research papers to find relevant information for your studies? Look no further! In this article, we will explore AI-powered literature review tools that can make your research journey much smoother.

Finding Semantically Similar Research Papers

One powerful tool worth mentioning is the Scientific Literature Search Engine. It is a free, AI-powered research tool that allows you to find semantically similar research papers. With over 200 million papers from all fields of science, this tool provides a vast database to explore.

For example, let’s say you are a nursing student researching mental health. By using the search term “nursing student mental health” and “scoping review,” you can retrieve over 4,000 results. The results can be sorted by fields of study, date range, author, journals, and conferences, making it easier to find the most relevant papers to your research.

Once you find papers of interest, you can save them in your library folder. The research feed will then recommend similar papers based on the items you have saved.

Semantic Reader: Enhancing Scientific Reading

Another AI-powered tool to revolutionize scientific reading is the Semantic Reader. It uses artificial intelligence to understand a document’s structure and merges it with the Semantic Scholar’s academic corpus. This provides detailed information in context via tooltips and overlays.

With Semantic Reader, you can skim papers faster by using automatically highlighted overlays. By clicking on the pen icon, you activate the highlights, making it easier to identify key points of interest. This feature is currently available in beta on limited papers for desktop devices only.

Additionally, Semantic Scholar offers TLDRs (Too Long; Didn’t Read) for nearly 60 million papers in computer science, biology, and medicine. These TLDRs are super-short summaries of the main objective and results of a scientific paper, generated using expert background knowledge and the latest NLP techniques.

Elicit: Your AI-Powered Research Assistant

Elicit is another powerful research assistant that utilizes language models like GPT-3 to automate parts of researchers’ workflows. The main workflow in Elicit is literature review, where you can ask questions and receive relevant papers and summaries of key information in an easy-to-use table format.

For example, if you are interested in mental health interventions and their variations by age group, you can ask Elicit, “How do mental health interventions vary by age group?” Elicit will then provide a summary of the top papers related to your question. The table view displays abstracts, interventions, outcomes measured, and the number of participants in each study.

In addition to searching for specific questions or keywords, Elicit offers various ways to export results and provides citation guidelines to ensure proper referencing. Extracting Insights from Research Papers is an AI-powered academic search engine that accepts research questions and finds relevant answers within research papers. It excels at synthesizing results by extracting and aggregating findings from relevant papers.

For instance, if you are curious about the relationship between the death penalty and crime reduction, you can ask, “Does the death penalty reduce crime?” It will provide you with extracted and aggregated findings from relevant papers, including aims, designs, participants, and major outcomes.

To enhance its functionality, offers a beta feature called Synthesize. When the AI recognizes specific types of research questions, it examines a selection of studies and provides a summary, along with a Consensus Meter indicating their collective agreement on the topic. This feature helps you gain insights quickly by identifying the consensus among various papers. Citations in Context offers a unique approach to analyzing citations in research papers. It provides citation statements and metadata from over 181 million papers, allowing you to determine whether citations offer supporting or contrasting evidence of the cited claims.

By accessing full-text articles,’s deep learning model can tell you how many times a publication was cited by others and show you the text where the citation occurred from each citing paper. This helps you evaluate the credibility and relevance of the cited claims.

ChatGPT: Conversational Large Language Model

ChatGPT, powered by OpenAI’s large language model, is a conversational tool that provides real-time literature reviews. While it offers conversational interaction, it is important to note that it might not replace traditional academic database searches in terms of rigor and reliability.

ChatGPT allows you to ask questions, find papers, and create content. It has a maximum token limit of 4096 tokens, which is roughly equivalent to 800 to 1000 English words. It can generate real academic references but may also generate fake ones. To ensure accuracy, it is recommended to validate and verify the data collected through ChatGPT.


AI-based literature review tools have become indispensable resources for researchers and students alike. With their ability to sift through vast databases, extract relevant information, and provide contextual insights, these tools streamline the research process and enhance the efficiency of literature reviews.

Explore the possibilities offered by AI-powered tools such as the Scientific Literature Search Engine, Semantic Reader, Elicit,,, and ChatGPT. These innovative tools will undoubtedly enhance your research journey and help you discover new insights in your field.

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