LLM-generated labels can fine-tune a RoBERTa model to nearly match the LLM's own linkage quality on mineral site data at 18x lower inference cost, but the evaluation uses only a handful of positive test pairs and a degenerate baseline.
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Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data
LLM-generated labels can fine-tune a RoBERTa model to nearly match the LLM's own linkage quality on mineral site data at 18x lower inference cost, but the evaluation uses only a handful of positive test pairs and a degenerate baseline.