2 papers
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…
stat.ME2025
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…