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Open access Sep 2026

Fine-Tuning Large Language Models for Financial Applications Using Direct Preference Optimization

Large language models have changed natural language processing across many fields, but their general-purpose design limits performance in specialized domains like finance. This study examines the adaptation of Meta-Llama-3-8B-Instruct for financial NLP tasks through parameter-efficient fine-tuning methods and direct pr...

B. Pavlyshenko, I. Bulka · 0 citations

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