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Grounding LLM explanations in digital twin outputs boosts anomaly diagnosis quality and operator engagement in cyber-physical systems.
Bigger isn't always better: smaller, task-aligned LLMs can exhibit more consistent annotation behavior than their larger counterparts in sensitive, low-resource settings like Bangla hate speech detection.
