RAG Without Text: The S-Path-RAG Breakthrough
Skills:
RAG Basics90%
Key Takeaways
Presents the S-Path-RAG breakthrough for semantic-aware shortest-path retrieval augmented generation in multi-hop knowledge graph question answering
Original Description
All rights w/ authors:
S-PATH-RAG: SEMANTIC-AWARE SHORTEST-PATH RETRIEVAL
AUGMENTED GENERATION FOR MULTI-HOP KNOWLEDGE
GRAPH QUESTION ANSWERING
Rong Fu∗
University of Macau
mc46603@um.edu.mo
Yemin Wang
Xiamen University
wangyemin@stu.xmu.edu.cn
Tianxiang Xu
Peking University
xtx_pku@stu.pku.edu.cn
Yongtai Liu
Hanyang University
yt2024259263@hanyang.ac.kr
Weizhi Tang
University of Macau
mc56666@um.edu.mo
Wangyu Wu
University of Liverpool
v11dryad@foxmail.com
Xiaowen Ma
Zhejiang University
xwma@zju.edu.cn
Simon Fong
University of Macau
ccfong@um.edu.mo
arXiv:2603.23512
#airesearch
#aiexplained
#graphrag
#topology
#mathematics
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: RAG Basics
View skill →Related Reads
📰
📰
📰
📰
A lightweight workflow for keeping up with AI conference papers
Dev.to · Daniel
Why CitedEvidence Believes Great Researchers Read Less Than You Think
Medium · AI
How to Write a Literature Review That Actually Argues Something
Medium · Machine Learning
I Built a Personal Paper Engine to Stop Losing Research Papers
Dev.to · Ethan
🎓
Tutor Explanation
DeepCamp AI