Convergence to Steady State in LLM-Generated Ontological Concepts.
Khatwani N; Wang L; Klein ST; Geller J · 2026 · Studies in health technology and informatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Large Language Models (LLMs) offer a scalable method to generate candidate concepts for ontology expansion. However, the outputs depend on LLMs' sampling parameters such as "temperature." A high temperature leads to increased…
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Metadata source: Europe PMC · DOI 10.3233/shti260676