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cs.CR2024★ 1 cited
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
Yu Liu, Lang Gao, Mingxin Yang +4
Large Language Models (LLMs) have training corpora containing large amounts of program code, greatly improving the model's code comprehension and generation capabilities. However,…
cs.SE2024★ 5 cited
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning
Yubo Mai, Zhipeng Gao, Xing Hu +3
Inspired by the great potential of Large Language Models (LLMs) for solving complex coding tasks, in this paper, we propose a novel approach, named Code2API, to automatically perfo…