Autoleaf
Autoleaf is designed to aid in the composition of scientific articles by extracting raw LaTeX content from documents within your paper library. Users can populate their knowledge base by uploading papers from Arxiv, which requires an Arxiv URL and a designated collection name. Once papers are added to the collection, Autoleaf allows users to perform queries within this collection to gather information. As users write new articles, they can reference the information obtained from these source documents, ensuring that each sentence is properly attributed to the original source, without using the original document's citation commands. The resulting article seamlessly integrates the user's input with the queried information.
๐ Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology โ
โน๏ธ Details
Category
๐ File Systems & Documents
Ecosystem
GPT Action
Language
โ
Pricing
Free
License
โ
Status
Abandoned
Platforms
chatgpt
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