AutoLLM/ArxivDigest
An LLM-powered pipeline that filters and ranks newly published arXiv papers based on personalized research interests.

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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.