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This is a Literature Review study (also classified as: Quantitative Study).

September 29, 2025Open Access

Do Large Language Models (Really) Need Statistical Foundations?

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Large language models inherently function as statistical models, emphasizing their reliance on data variability.
Statistical approaches are necessary for effectively handling the inherent uncertainty in data generated by LLMs.
The complexity of LLMs often leads to their black-box nature, making statistical insights critical for understanding their operations.
To improve LLMs, engagement between statistical research and practical applications in machine learning is essential.

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This analysis argues for the importance of statistical models in large language models, suggesting implications for data variability and uncertainty.

Weijie Su (2025) studied this question.

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This analysis argues for the importance of statistical models in large language models, suggesting implications for data variability and uncertainty.