An LLM-based taxonomy alignment framework reaches 0.97 F1 using many-shot prompting and expert calibration, but the claimed superiority over the 0.68 human benchmark is based on a non-comparable baseline.
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Transforming Expert Knowledge into Scalable Ontology via Large Language Models
An LLM-based taxonomy alignment framework reaches 0.97 F1 using many-shot prompting and expert calibration, but the claimed superiority over the 0.68 human benchmark is based on a non-comparable baseline.