4 papers
TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering
Kexin Xie, Ryan Lekivetz, Xinwei Deng
Modern experimental designs often face the so-called treatment cardinality constraint, which is the constraint on the number of included factors in each treatment. Experiments with…
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
Kexin Xie, Xinwei Deng
Understanding interaction effects among variables is important for regression modeling in various applications. The conventional approach of quantifying interactions as the product…
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
Xinyi Song, Lina Lee, Kexin Xie +3
The coding capabilities of large language models (LLMs) have opened up new opportunities for automatic statistical analysis in machine learning and data science. However, before th…
Performance Evaluation of Large Language Models in Statistical Programming
Xinyi Song, Kexin Xie, Lina Lee +10
The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the v…