用神经符号多智能体整合法律与网络安全知识，打破专业壁垒。
A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
- 设计神经符号多智能体系统融合法律条文与技术漏洞
- 在多语言任务中实现初步有效关联，提升跨领域理解
- 适合法律与安全交叉研究者，推动智能合规系统发展
网络安全与法律的交叉日益加深，形成复杂信息空间，传统法律研究工具难以处理案例、法规与技术漏洞间的细微关联。这一知识鸿沟阻碍了法律专家与网络安全人员的合作。为弥补此重要空白，本文提出首个面向智能系统的解决方案，使其能够驾驭日益复杂的网络法律领域。我们在多语言任务上展示了有前景的初步成果，验证了跨领域知识整合的有效性。
原文摘要 · Abstract (English)
The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases, statutes, and technical vulnerabilities. This knowledge divide hinders collaboration between legal experts and cybersecurity professionals. To address this important gap, this work provides a first step towards intelligent systems capable of navigating the increasingly intricate cyber-legal domain. We demonstrate promising initial results on multilingual tasks.
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