Stephanie Eckman

According to our database, Stephanie Eckman authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR).

Stephanie Eckman, Bolei Ma, Christoph Kern, Robert F. Chew, Barbara Plank, Frauke Kreuter

CoRR, January, 2025

2024

Mitigating Selection Bias with Node Pruning and Auxiliary Options.

Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy

CoRR, 2024

The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models.

Stephanie Eckman, Barbara Plank, Frauke Kreuter

CoRR, 2024

Position: Insights from Survey Methodology can Improve Training Data.

Stephanie Eckman, Barbara Plank, Frauke Kreuter

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.

Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improving Labeling Through Social Science Insights: Results and Research Agenda.

Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter

Proceedings of the HCI International 2022 - Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence, 2022