LabelFusion: Fusing Large Language Models with Transformer Encoders for Robust Financial News Classification

Researchers developed LabelFusion, a hybrid AI architecture combining Large Language Models with transformer encoders for financial news classification. The system achieves 96% F1 score on full datasets but LLMs alone perform better in low-data scenarios, suggesting different strategies based on available training data.