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...
LLM-maintained wiki systems accumulate structured knowledge by having a language model incrementally build and revise a persistent wiki layer over raw evidence sources. When such systems support decision-making in regulated domains, each output must be traceable to grounded evidence through an auditable chain. This pap...
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
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