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LORIA, Université de Lorraine, Université Sorbonne Paris Nord, Laboratoire d'Informatique de Paris Nord
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Textual data from financial reports can significantly enhance fraud detection, as evidenced by our framework's superior performance on a novel benchmark task.
Ontology-driven constraints unlock modular, explainable control over LLM conversations, enabling targeted fine-tuning for specific aspects like English proficiency or content polarity.
