2 papers
cs.AI2026
UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval
Mengkun Liang, Haoran Qiang, Guannan Liu +1
Large language model (LLM) agents reuse external memory to guide new tasks, but effective retrieval requires learning which memory sets improve execution. Such learning relies on c…
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…