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September 10, 2025MathematicsOpen Access

Domain-Aware Reinforcement Learning for Prompt Optimization

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DA-RLPO enhances prompt editing through structured domain knowledge, improving accuracy in large language models.
Experimental results indicated that DA-RLPO outperformed baseline methods in text classification tasks with limited API queries.
Domain-Aware Reinforcement Learning optimizes prompt editing as a sequential decision process, constraining candidate edits effectively.
Results show robust performance not only in text classification but also in text-to-image and reasoning tasks.

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Proposed approach enhances prompt optimization in large language models, suggesting higher accuracy and efficiency.

Gao et al. (2025) studied this question.

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