1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
Jialu Xu, Mengkun Liang, Guannan Liu +2
Estimating heterogeneous treatment effects is central to targeted interventions, such as personalized promotions and precision medicine. We focus on the conditional average treatme…
cs.CR2025★ 1 cited
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…
cs.CL2023
Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
Zhihao Zhang, Yuan Zuo, Chenghua Lin +1
Phrase mining is a fundamental text mining task that aims to identify quality phrases from context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substant…