Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation

Joy Mahapatra, Soumyajit Roy, Utpal Garain

Monitoring factual inconsistency is essential for ensuring trustworthiness in data-to-text generation (D2T). While large language models (LLMs) have demonstrated exceptional perfor…