036-swe-bench-can-language-models-resolve-real-world-github-issues-
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 publication links
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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 (1.5%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- License: mit
- Language: Python
- Default Branch: main
- Size: 787 KB
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
https://github.com/SZU-AdvTech-2023/036-SWE-bench-Can-Language-Models-Resolve-Real-World-GitHub-Issues-/blob/main/
# https://github.com/princeton-nlp/SWE-bench/ README.md Original_README.md
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@misc{REPO036,
author = "Jimenez, Carlos E. and Yang, John and Wettig, Alexander and Yao, Shunyu and Pei, Kexin and Press, Ofir and Narasimhan, Karthik",
archiveprefix = "arXiv",
eprint = "2310.06770",
primaryclass = "cs.CL",
title = "{SWE-bench: Can Language Models Resolve Real-World GitHub Issues?}",
year = "2023"
}