2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation Systems
Xiaochuan Li, Ke Wang, Girija Gouda +5
As Large Language Models (LLMs) become integrated into high-stakes domains, there is a growing need for evaluation methods that are both scalable for real-time deployment and relia…
stat.ML2023★ 2 cited
Computing SHAP Efficiently Using Model Structure Information
Linwei Hu, Ke Wang
SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is…