Author

Dominic Okonkwo

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Open access 2026

Do LLMs Use Relational Structure in KG-Grounded Dialogue? Evidence from Entity and Relation Perturbation

Knowledge graph-grounded dialogue systems are built on the assumption that large language models leverage not only entity identity but also the typed relational structure connecting entities. We present the first controlled perturbation study to directly test this assumption, comparing model responses under three condi...

Dominic Okonkwo, I. B. Arpinar · SIGDIAL Conferences · 0 citations

#artificial intelligence Preprint Sep 2026

HypoKG: Evidence-Disciplined Biomedical Hypothesis Generation Beyond Endpoint Knowledge

These findings show that knowledge graphs support hypothesis generation in two ways: they identify biological endpoint pairs absent from the literature, and their mechanistic paths guide how LLMs reason between them.

Dominic Okonkwo, Adetayo Okunoye, I. B. Arpinar · 0 citations

Jul 2026

Capabilities of Claude Fable 5 on Biomedical Challenge Problems

Claude Fable 5, Anthropic's most capable publicly available model, is evaluated across eight biomedical benchmarks, four text and four multimodal, using deterministic scoring against fixed answer keys throughout.

D. Okonkwo, Magnus D. Hodgson, T. David et al. · arXiv.org · 0 citations