ArXiv Paper Summarizer is an open source Python scripting tool designed to help users quickly access and generate summaries of academic papers from the arXiv platform. It is designed to simplify the process of reading papers through automated tools, and is particularly suitable for researchers, students and academic enthusiasts who need to quickly understand the content of a large number of papers.
Key features include:
- Single paper abstracts: Enter the URL of a single arXiv paper to generate a concise abstract.
- Batch paper abstracts: input multiple paper URLs via text file to batch generate abstracts
- Keyword Abstract Extraction: Automatically retrieve and abstract relevant papers based on user-specified keywords
- Automated daily updates: can be set to automatically get the latest abstracts in a daily newspaper format
- Integration with the Gemini API for high-quality text summary generation
The biggest value of this tool is that it can help users save the time of reading more than 90% of literature and quickly locate the papers that are really valuable.
This answer comes from the articleArXiv Paper Summarizer: automatic summary tool for arXiv papersThe
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