Smart Accelerators for Academic Research
The document processing system designed for scientific research scenarios can improve the efficiency of literature research by 300%, and its core technological breakthroughs are reflected in: 1) generating structured abstracts for 20-page academic papers in 5 seconds; 2) supporting key data extraction across formats (PDF/DOCX/TXT); and 3) accurately recognizing mathematical formulas and terminology. In the actual case, after the user uploads the machine learning paper, the mathematical expressions in LaTeX format can be obtained through the 'Extract Algorithm Formulas' command, with an accuracy rate of 98%. The output can be exported to presentation formats such as PPTX and used directly in academic reports. This feature has been applied to research teams in top universities, helping researchers save 80% of time combing through literature in scenarios such as Systematic Literature Review (SLR), making it a key tool for academic productivity improvement.
This answer comes from the articleMiniMax Agent: an intelligent AI assistant supporting multimodal interactionsThe
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