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AMiner is an AI research service platform under Zhipu, connecting academic search, paper reading, literature management, and in-depth research to help researchers find materials, understand scholarly articles, and prepare research content with source citations.

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What is AMiner?

AMiner integrates its accumulated academic resources with the GLM series of models, providing tools for retrieval, reading, and organizing research content. The academic search supports both keyword queries and an intelligent retrieval interface; users can first identify their research topic and relevant papers, then proceed to reading, building personal libraries, or engaging with research-oriented AI agents to further process the materials.

AI Reading is used to comprehend the content of academic papers, with the official description stating that it can generate summaries and provide explanations and Q&A围绕 concepts, formulas, and diagrams. AI Library and Academic Space are designed to organize research materials, allowing users to further refine the information retrieved in a single search into a readable, discussable knowledge base. Research Labs also offers a workbench for conducting Q&A and scientific communication around specified materials.

The In-Depth Research page offers literature reviews, proposal outlines, industry surveys, and generic templates, enabling users to organize research around specific topics and produce research reports. The official website emphasizes source credibility and traceable evidence, while also clarifying that it does not guarantee the completeness or timeliness of the page’s data. Any research content, citation links, or conclusions generated should still be cross-checked against the original sources before being used in formal studies or writing.

Key features

  • Academic Search: Locate papers and research topics using keywords or intelligent retrieval.

  • AI Reading: Summarizes papers, explains concepts, formulas, and charts, and supports question-and-answer interactions.

  • Literature Organization: Manage research materials through AI-powered libraries and academic spaces.

  • In-depth research: Offers formats such as literature reviews, proposal reports, and industry surveys.

  • Research Labs: Answer questions based on specified literature and organize research outputs in various formats.

Use cases and audience

Students, researchers, research teams, and scientific intelligence professionals who need to search for, read, and organize academic materials.

  • Find, screen, and understand relevant studies for topic selection and literature review.
  • Assist in reading concepts, formulas, and charts in research papers.
  • Organize literature and in-depth research materials around professional issues.
Input

Research questions or keywords, retrieved academic literature, PDFs uploaded according to reading functionality requirements, and other materials.

Output

Academic search results, paper abstracts and explanations, Q&A on relevant materials, as well as research reports or review articles.

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