π Real-time Hot Topic Review
Based on real-time web search, automatically aggregate the latest online materials to generate structured reports.
Suitable for: technical documentation, industry reports, news analysis, trend summaries
π‘ Unique Advantages
Real-time Online Search
ChatGPT/Kimi: Training data has cutoff date
LivePaper: Real-time search of the latest web content, suitable for time-sensitive topics
Structured Review
ChatGPT/Kimi: Simple Q&A dialogue
LivePaper: Auto-generate complete reports with outline and citations
Literature Review Polish
ChatGPT/Kimi: Basic text generation
LivePaper: Underlying literature review polishing mechanism to enhance content professionalism
πΌ Use Case Examples
π±Technical Documentation
"New features and best practices in React 19 for 2025"
πIndustry Trend Report
"Analysis of AI chip market development trends in 2025"
π°Hot News Summary
"New energy vehicle industry dynamics in H1 2025"
π¬Application Case Analysis
"Application cases of large models in medical diagnosis"
π LivePaper Workflow
Topic Input
Enter research topic and requirements
Material Search
Automatically search authoritative sources
Outline Building
Intelligently generate article structure
Content Writing
Write complete content according to outline
Polish Optimization
Optimize expression and format
π‘ Usage Tips
- β’ Topics should be clear and specific, such as 'Latest applications of machine learning in medical diagnosis in 2025' rather than 'machine learning'
- β’ The generation process takes 2-5 minutes, please be patient
- β’ You can view search results, outlines and article content in real-time on the progress interface
- β’ Generated articles support Markdown format export for easy editing
- β’ The system automatically searches the latest online materials, better for time-sensitive topics
π― Application Scenarios
π Academic Research
Quickly understand the current state of a research field, generate literature review framework
πΌ Industry Analysis
Generate industry research reports, technology trend analysis articles
π Knowledge Learning
Systematically learn new field knowledge, build knowledge system