AutoLLM/ArxivDigest
An LLM-powered pipeline that filters and ranks newly published arXiv papers based on personalized research interests.
Not currently ranked — collecting fresh signals.
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This repository provides a daily digest system for arXiv papers using large language models. Users describe their research interests in natural language, and GPT evaluates each paper’s relevance and importance. The system can be run as a GitHub Action with email subscriptions, via CLI, or through a web interface on Hugging Face. It fetches daily papers from specified arXiv categories and returns a ranked, curated list.
Frequently asked
- What is AutoLLM/ArxivDigest?
- An LLM-powered pipeline that filters and ranks newly published arXiv papers based on personalized research interests.
- Is ArxivDigest open source?
- Yes — AutoLLM/ArxivDigest is open source, released under the MIT license.
- What language is ArxivDigest written in?
- AutoLLM/ArxivDigest is primarily written in Python.
- How popular is ArxivDigest?
- AutoLLM/ArxivDigest has 437 stars on GitHub.
- Where can I find ArxivDigest?
- AutoLLM/ArxivDigest is on GitHub at https://github.com/AutoLLM/ArxivDigest.