Combining search-based hyperparameter tuning of Llama 3.1 with few-shot prompting improves domain-model generation quality over default settings on most of ten test domains, though only for a text-similarity metric.
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Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling
Combining search-based hyperparameter tuning of Llama 3.1 with few-shot prompting improves domain-model generation quality over default settings on most of ten test domains, though only for a text-similarity metric.