Feb. 22, 2024, 5:42 a.m. | Berkay Berabi, Alexey Gronskiy, Veselin Raychev, Gishor Sivanrupan, Victor Chibotaru, Martin Vechev

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.13291v1 Announce Type: cross
Abstract: The automated program repair field has attracted substantial interest over the years, but despite significant research efforts, creating a system that works well for complex semantic bugs such as security vulnerabilities has proven difficult. A promising direction to solve this challenge is by leveraging large language models (LLMs), which are increasingly used to solve various programming tasks. In this paper, we investigate the effectiveness of LLMs for solving code-repair task. We show that the task …

abstract arxiv automated bugs challenge cs.cr cs.lg cs.pl cs.se language language models large language large language models research security security vulnerabilities semantic solve type vulnerabilities

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