259-large-language-model-empowered-agents-for-simulating-macroeconomic-activities
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.8%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 2.01 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@article{REPO259,
author = "{Li}, Nian and {Gao}, Chen and {Li}, Yong and {Liao}, Qingmin",
adsnote = "Provided by the SAO/NASA Astrophysics Data System",
adsurl = "https://ui.adsabs.harvard.edu/abs/2023arXiv231010436L",
archiveprefix = "arXiv",
doi = "10.48550/arXiv.2310.10436",
eid = "arXiv:2310.10436",
eprint = "2310.10436",
journal = "arXiv e-prints",
keywords = "Computer Science - Artificial Intelligence",
pages = "arXiv:2310.10436",
primaryclass = "cs.AI",
title = "{{Large Language Model-Empowered Agents for Simulating Macroeconomic Activities}}",
year = "2023"
}