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PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
and-scienceartificial-intelligencecomputation-and-languagecomputational-engineeringfinanceinformation-retrieval
Deploying LLMs for financial information retrieval demands accuracy, cost efficiency, and reproducibility, yet most approaches require expensive fine-tuning. PRISM is a training-free framework that composes three deployable modules (prompt engineering, in-context learning, and a candidate refinement
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