Background: LLM-based agents are increasingly deployed not only to answer queries but to maintain persistent, evolving knowledge bases—continuously ingesting sources, revising assertions, and reconciling contradictions. After every edit, the knowledge base must be verified for internal consistency. However, naive full...
Wiki-grounded LLM agents enforce output constraints through safety rules and scope boundaries derived from structured knowledge bases, yet selecting an appropriate constraint scorer threshold $\theta$ remains challenging. Since outputs are blocked when $s(o) \geq \theta$, a low threshold may over-restrict safe response...
An automated gap analysis shows the architecture demonstrates alignment with five of eight requirements derived from the EU AI Act and FDA AI/ML guidance, and module-level evaluations of claim extraction, evidence binding, and silent-edit detection are reported together with a measured baseline comparison on retraction...
The contribution is not that KRD is universally optimal but that layer-wise auditability is a design discipline whose cost in this setting was lower than its critics would have predicted.
Bai-Ling Zhang, Genlang Chen· Journal of Intelligent Medic...· 0 citations
. Large Language Models (LLMs) are increasingly used to maintain persistent, domain-specific knowledge bases—a paradigm in which assertions must remain accurate as the field evolves. Existing staleness detection treats each assertion independently, missing a structural reality: when a foundational concept becomes outda...
Bai-Ling Zhang· Journal of Advances in Artif...· 0 citations
A previously unrecognised failure mode in LLM-to-logic compilation is characterise a previously unrecognised failure mode in LLM-to-logic compilation and a practical engineering toolchain for producing verifiable knowledge-base programs from natural-language specifications is demonstrated.
Bai-Ling Zhang· AI Engineering· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
