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Fine-tuned encoders outperform larger models in classifying financial disclosure inconsistencies, revealing the importance of evidence quality over sheer model size.
Domain-specific SLMs can outperform much larger general models, as shown by a 3B-parameter model that beats 9B-parameter models on industrial diagnostics.