works on
causal inference 1heterogeneous treatment effect 1large language models 1representation learning 1uncertainty guidance 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation

Jialu Xu, Mengkun Liang, Guannan Liu +2

The paper introduces CURL, a method that uses uncertainty estimates to guide a frozen large language model in creating semantic representations for covariates, improving heterogene…