June 4, 2024, 4:53 a.m. | Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, G

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.01304v1 Announce Type: new
Abstract: GitHub issue resolving recently has attracted significant attention from academia and industry. SWE-bench is proposed to measure the performance in resolving issues. In this paper, we propose CodeR, which adopts a multi-agent framework and pre-defined task graphs to Repair & Resolve reported bugs and add new features within code Repository. On SWE-bench lite, CodeR is able to solve 28.00% of issues, in the case of submitting only once for each issue. We examine the performance …

abstract academia agent arxiv attention bugs coder cs.ai cs.cl cs.se features framework github graphs industry issue multi-agent new features paper performance repair swe type

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