2 papers
cs.HC2025
A Design Space for the Critical Validation of LLM-Generated Tabular Data
Madhav Sachdeva, Christopher Narayanan, Marvin Wiedenkeller +2
LLM-generated tabular data is creating new opportunities for data-driven applications in academia, business, and society. To leverage benefits like missing value imputation, labeli…
cs.HC2025
Scalable Class-Centric Visual Interactive Labeling
Matthias Matt, Jana Sedlakova, Jürgen Bernard +2
Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual sc…