iPOE derives and optimizes guidelines from explanations to create interpretable prompts, yielding up to 31% and 35% gains over standard and random-guideline prompts on four datasets.
Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction
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iPOE: Interpretable Prompt Optimization via Explanations
iPOE derives and optimizes guidelines from explanations to create interpretable prompts, yielding up to 31% and 35% gains over standard and random-guideline prompts on four datasets.