Author

Hsin-Ling Hsu

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#artificial intelligence Preprint Sep 2026

When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyond Parameter Support

Editing a knowledge graph embedding (KGE) model to promote a desired answer can displace correct answers from the returned list. Locality tests based only on facts that reuse the edited parameter can miss this ranking effect. We introduce a common rank-displacement audit at three scopes: facts supported by the edited p...

Yi-Cheng Lai, Jerry Wang, Hsin-Ling Hsu et al. · 0 citations

#natural language process... Preprint Aug 2026

DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk Screening

DIASENTINEL demonstrates a practical framework for reliable, auditable, and privacy-preserving LLM-based clinical decision support for type 2 diabetes mellitus risk screening and guideline-grounded report generation from electronic health records (EHRs).

Yung Wei Shueh, Zhi-Jie Chen, Chiang-Hsuan Hsu et al. · 0 citations