OpenDFM/NeuSym-RAG
[ACL 2025] NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
This project helps researchers and scientists quickly find precise answers within large collections of academic PDFs. You input a question, and it extracts the most relevant information from your uploaded PDF documents, presenting a direct answer. It's designed for anyone who regularly sifts through academic papers for specific facts or data.
No commits in the last 6 months.
Use this if you need to extract precise information from a large library of academic research papers by asking natural language questions.
Not ideal if your primary need is general document summarization or if your documents are not primarily academic PDFs.
Stars
22
Forks
4
Language
Python
License
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Category
Last pushed
Jul 29, 2025
Commits (30d)
0
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