Context augmentation uses LLM-generated contexts as latent variables to enable frequentist two-sample tests and text-on-text regression with claimed asymptotic guarantees.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression
Context augmentation uses LLM-generated contexts as latent variables to enable frequentist two-sample tests and text-on-text regression with claimed asymptotic guarantees.