Stephanie Eckman

11 papers A* 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions.
CoRR
Jacob Beck, Stephanie Eckman, Christoph Kern, Frauke Kreuter
2025 J jnl
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR).
CoRR
Stephanie Eckman, Bolei Ma, Christoph Kern, Robert F. Chew, Barbara Plank, Frauke Kreuter
2025 — conf
Mitigating Selection Bias with Node Pruning and Auxiliary Options.
ACL (1)
Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2025 J jnl
SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions.
CoRR
Weijie Xu, Shixian Cui, Xi Fang, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2025 J jnl
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs.
CoRR
Xi Fang, Weijie Xu, Yuchong Zhang, Stephanie Eckman, Scott Nickleach, Chandan K. Reddy
2024 J jnl
Mitigating Selection Bias with Node Pruning and Auxiliary Options.
CoRR
Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2024 A* conf
Position: Insights from Survey Methodology can Improve Training Data.
ICML
Stephanie Eckman, Barbara Plank, Frauke Kreuter
2024 J jnl
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models.
CoRR
Stephanie Eckman, Barbara Plank, Frauke Kreuter
2023 — conf
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.
EMNLP (Findings)
Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
2023 J jnl
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.
CoRR
Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
2022 — conf
Improving Labeling Through Social Science Insights: Results and Research Agenda.
HCI (43)
Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter