Lumi
Reads and answers questions about arXiv papers using AI, summarizes key points.
Reads and answers questions about arXiv papers using AI, summarizes key points.
Lumi by Google is an AI experiment. It uses the Gemini API to help you read and understand arXiv papers quickly. It adds smart notes, gives summaries, and answers your questions about scientific articles. This tool saves a lot of time for researchers and students.
AI-Augmented Annotations.
Lumi helps you by marking important parts of a paper. It highlights key ideas and what the paper found.
Multi-Granular Summaries.
You get summaries that fit what you need. This could be a quick overview or a detailed breakdown of the content.
Question-Answer Interface.
You can ask Lumi questions about the paper. It will give you clear answers based on what's written.
Citation Mapping.
Lumi helps you see how studies are linked. You can follow the connections and understand how research builds on itself.
Gemini API Integration.
This means Lumi uses Google's smart AI to understand papers. It gives you a deep analysis of the text.
Privacy-Focused Design.
Your search history stays in your browser. Lumi does not save your personal data, keeping your research private.
No. Your search history stays in your browser. You can clear it whenever you want. Lumi logs queries to the Gemini API anonymously.
Right now, Lumi only works with arXiv papers. It doesn't support other places.
No, Lumi needs an internet connection to get papers and use the AI.
Lumi is an experiment, so its future isn't set. Don't rely on it for very important work.
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