Open Source AI Project


AutoSurveyGPT serves as the academic research community's ChatGPT, offering a suite of core functionalities designed to streamline the research process.


AutoSurveyGPT is a highly specialized tool tailored for the academic research community, akin to having a ChatGPT specifically designed to aid researchers in navigating the vast sea of academic literature. Its primary goal is to make the research process more efficient and effective by automating several critical steps typically involved in conducting literature reviews. Here’s an in-depth look at its purpose, features, and advantages:


The primary purpose of AutoSurveyGPT is to assist researchers in identifying and analyzing relevant academic papers quickly. It aims to reduce the time and effort researchers spend on the initial phases of literature review, including the search for papers, initial screening, and relevance assessment. This tool is particularly useful for navigating large databases of academic literature where identifying pertinent research can be like finding a needle in a haystack.


AutoSurveyGPT offers a comprehensive suite of functionalities designed to address various aspects of the literature review process:

  • Keyword Generation: It begins by generating search keywords from a user-provided research topic description. This feature ensures that searches are comprehensive and aligned with the research topic’s nuances.
  • Search Result Parsing: The tool parses search results to extract crucial information such as paper titles, authors, publication venues, and abstracts. This streamlined extraction process saves researchers from manually sifting through search results.
  • Relevance Analysis: Utilizing OpenAI’s GPT model, AutoSurveyGPT analyzes the abstracts to determine their relevance to the user’s research topic. This automated analysis helps in quickly identifying the most pertinent papers.
  • Relevance Scoring: Papers are scored on their relevance, which aids researchers in prioritizing which papers to read in detail. This feature is particularly useful for managing large volumes of literature.
  • Recursive Searches: The tool performs recursive searches for papers that are directly and indirectly related to the user’s research topic. This ensures a thorough review by uncovering papers that may not be directly retrieved through initial keyword-based searches.
  • JSON Reports: AutoSurveyGPT generates JSON reports listing relevant papers along with their relevance scores. These reports provide a structured overview of the search results, making it easier for researchers to organize their literature review process.


The advantages of AutoSurveyGPT are numerous, offering significant benefits to researchers:

  • Efficiency: By automating the initial stages of the literature review process, researchers can save considerable time and effort.
  • Comprehensiveness: The tool’s ability to generate keywords, perform recursive searches, and analyze abstracts ensures a thorough search and review process, reducing the likelihood of missing relevant papers.
  • Prioritization: Relevance scoring helps researchers prioritize their reading, focusing on the most pertinent papers first.
  • Streamlined Process: Extracting information and generating structured reports simplifies the organization of literature review findings, making the research process more manageable.
  • Future Enhancements: Planned updates, such as PDF parsing for introduction and related work sections and progress saving for research continuation, promise to further enhance its utility and user experience.

In summary, AutoSurveyGPT represents a significant advancement in research tools, offering a powerful, automated solution to the challenges of conducting comprehensive and efficient literature reviews. Its ability to streamline the initial phases of research makes it an invaluable asset to the academic research community.

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