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UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks
- Source
- arxiv.org
- Author
- Zhilun Zhou, Jianghao Yu, Yuming Lin, yongjun yang, Sun Yongquan, Depeng Jin, Yong Li
- Date
Why it matters
Data-science agents break down when the relevant tables must be discovered rather than handed over; a profiled dataset graph of skills and relations gives the planner something to retrieve against, with a and a live deployment behind it.
Terms in this piece · Glossary
- agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
- benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Read the source arxiv.org
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