作者位次 #2/10ACL 2026Findings· Findings of ACL
A uto SUIT Bench - Automated Security U n I t Test Benchmark for LLM Coding
Samuel Osebe · Fan Yang · Junyi Li · Yue Gu · Yongxin Wang · Satyapriya Krishna · Kai-Wei Chang · Aram Galstyan · Rahul Gupta · Weitong Ruan
摘要
Large Language Models (LLMs) are evolving rapidly on code generation tasks. While it is important to evaluate their code generation accuracy, ensuring they follow responsible practices is equally critical. Some of the previous works use tools such as CodeQL to match patterns against Common Weakne...