新框架评估文件级问题定位对仓库级LLM修复的影响，为更精准的代码修复提供理论支撑
arXiv:2606.30963v1 Announce Type: cross Abstract: Repository-grounded automated repair is often reported as a single end-to-end capability, which hide…
HORIZON将硬件设计转化为仓库级代码进化，AI智能体框架实现硬件自进化，颠覆传统设计流程。
arXiv:2606.28279v1 Announce Type: cross Abstract: We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level …
多智能体协同审计，通过证据校准提升仓库级代码漏洞检测精度，开源研究新范式。
arXiv:2603.13384v2 Announce Type: replace-cross Abstract: Software vulnerabilities often depend on cross-file data flow, build options, framework conv…
被ICML 2026接收，提出用Pull Requests作为训练信号来提升仓库级别代码编辑能力，开辟AI编程新路径。
arXiv:2602.07457v2 Announce Type: replace-cross Abstract: Repository-level code editing requires models to understand complex dependencies and execute…
仓库级漏洞自动修复新方案，用层次化记忆提升LLM代理修复准确性
arXiv:2605.17444v1 Announce Type: cross Abstract: Modern software ecosystems face a rapidly growing number of disclosed vulnerabilities, increasing th…