6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 6 cited
Evaluating Spatial Understanding of Large Language Models
Yutaro Yamada, Yihan Bao, Andrew K. Lampinen +2
Large language models (LLMs) show remarkable capabilities across a variety of tasks. Despite the models only seeing text in training, several recent studies suggest that LLM repres…
stat.ME2023
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
Yihan Bao, Lauren Bell, Elizabeth Williamson +2
Micro-randomized trials are commonly conducted for optimizing mobile health interventions such as push notifications for behavior change. In analyzing such trials, causal excursion…
stat.ME2021★ 3 cited
Mixed Models and Shrinkage Estimation for Balanced and Unbalanced Designs
Yihan Bao, James G. Booth
The known connection between shrinkage estimation, empirical Bayes, and mixed effects models is explored and applied to balanced and unbalanced designs in which the responses are c…