2 papers
stat.ME2026
Synthesizing Evidence: Data-Pooling as a Tool for Treatment Selection in Online Experiments
Zhenkang Peng, Chengzhang Li, Ying Rong +1
Randomized experiments are the gold standard for causal inference but face significant challenges in business applications, including limited traffic allocation, the need for heter…
cs.AI2026
Improving Behavioral Alignment in LLM Social Simulations via Context Formation and Navigation
Letian Kong, Qianran, Jin +1
Large language models (LLMs) are increasingly used to simulate human behavior in experimental settings, but they systematically diverge from human decisions in complex decision-mak…