Feb. 27, 2024, 5:44 a.m. | Andr\'e Silva, Sen Fang, Martin Monperrus

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.15698v2 Announce Type: replace-cross
Abstract: Automated Program Repair (APR) has evolved significantly with the advent of Large Language Models (LLMs). Fine-tuning LLMs for program repair is a recent avenue of research, with many dimensions which have not been explored. Existing work mostly fine-tunes LLMs with naive code representations and is fundamentally limited in its ability to fine-tune larger LLMs. To address this problem, we propose RepairLLaMA, a novel program repair approach that combines 1) code representations for APR and 2) …

abstract arxiv automated code cs.lg cs.se dimensions fine-tuning language language models large language large language models llms research type work

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