AIBullisharXiv – CS AI · Mar 27/1022
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Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Researchers introduce a framework of four strategies to improve large language models' performance in context-aided forecasting, addressing diagnostic tools, accuracy, and efficiency. The study reveals an 'Execution Gap' where models understand context but fail to apply reasoning, while showing 25-50% performance improvements and cost-effective adaptive routing approaches.