activity
20242026
most citedTowards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026★ 1 cited

Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents

Fujiang Yuan, Xia Huang, Lusheng Wang +7

The convergence of large language models (LLMs), structured knowledge bases (KBs), and reasoning ability (RA) presents a promising trajectory toward general embodied intelligence (…

stat.ML2026

Targeted Synthetic Control Method

Yuxin Wang, Dennis Frauen, Emil Javurek +3

The synthetic control method (SCM) estimates causal effects in panel data with a single-treated unit by constructing a counterfactual outcome as a weighted combination of untreated…

cs.LG2025

Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring

Yuxin Wang, Dennis Frauen, Jonas Schweisthal +2

Dropout is common in clinical studies, with up to half of patients leaving early due to side effects or other reasons. When dropout is informative (i.e., dependent on survival time…

stat.ME2025

Inference of high-dimensional weak instrumental variable regression models without ridge-regularization

Jiarong Ding, Xu Guo, Yanmei Shi +1

Inference of instrumental variable regression models with many weak instruments attracts many attentions recently. To extend the classical Anderson-Rubin test to high-dimensional s…

cs.LG2024

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets

Yuxin Wang, Maresa Schröder, Dennis Frauen +3

Constructing confidence intervals (CIs) for the average treatment effect (ATE) from patient records is crucial to assess the effectiveness and safety of drugs. However, patient rec…