Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) 事件

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) arXiv:2605.26942v1 Announce Type: new Abstract: LLMs deployed in high-stakes domains face fundamental reliability challenges: hallucinations, inconsistencies, and privacy vulnerabilities introduce unacceptable risks where errors carry legal, financial, or safety consequences. This paper presents a hybrid verification architecture combining formal symbolic methods with neural semantic analysis to provide co