Fine-tuning small language models on synthetic financial errors yields high detection and editing scores, but the evaluation is limited to synthetic data from the same pipeline.
Graphrag: Leveraging graph-based efficiency to minimize hallucinations in llm-driven rag for finance data
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FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
Fine-tuning small language models on synthetic financial errors yields high detection and editing scores, but the evaluation is limited to synthetic data from the same pipeline.