TPV: Parameter Perturbations Through the Lens of Test Prediction Variance

The article's title suggests a focus on how parameter perturbations in machine learning models, likely large language models (LLMs), affect the variance of test predictions. This implies an investigation into the stability and robustness of model outputs under slight changes to the model's parameters. The use of "Test Prediction Variance" (TPV) as a key concept indicates a quantitative approach to understanding this phenomenon. The source, ArXiv, confirms this is a research paper.