causal inference 1heterogeneous treatment effect 1large language models 1representation learning 1uncertainty guidance 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
cs.CR2025
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Yucheng Wu, Yuncong Yang, Xiao Han +2
Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may…