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SSCM: Self-Supervised Critical Model for Reducing Hallucinations in Chinese Financial Text Generation

Large Language Models (LLMs) show strong performance in natural language processing tasks, but their application in the financial domain is limited. Current methods rely on large datasets and manual prompt engineering, resulting in high data demands, long inference times, and frequent hallucinations…