On a public dataset of 769 report passages, automatic instruction refinement by GPT-4o mini outperformed dynamic few-shot example selection for emission goal detection, but adding few-shot examples to optimized prompts provided limited extra benefit.
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Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design
On a public dataset of 769 report passages, automatic instruction refinement by GPT-4o mini outperformed dynamic few-shot example selection for emission goal detection, but adding few-shot examples to optimized prompts provided limited extra benefit.