AINeutralarXiv – CS AI · 7h ago6/10
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A Unified Evaluation-Instructed Framework for Query-Dependent Prompt Optimization
Researchers introduce a unified evaluation-instructed framework for optimizing AI prompts that adapts to individual queries rather than using static templates. The approach combines a systematic prompt evaluation framework with an execution-free evaluator that predicts quality scores and guides a metric-aware optimizer to rewrite prompts in an interpretable, query-dependent manner, demonstrating consistent improvements across multiple datasets and models.