28 citations · 39 across the 8 of their papers we have counts for
4 papers · 1 filter
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
Kewen Peng, Yicheng Yang, Hao Zhuo
Fairness-aware learning aims to mitigate discrimination against specific protected social groups (e.g., those categorized by gender, ethnicity, age) while minimizing predictive per…
Software Engineering Principles for Fairer Systems: Experiments with GroupCART
Kewen Peng, Hao Zhuo, Yicheng Yang +1
Discrimination-aware classification aims to make accurate predictions while satisfying fairness constraints. Traditional decision tree learners typically optimize for information g…
Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering
Hao Zhuo, Yicheng Yang, Kewen Peng
Large Language Models (LLMs) have become integral to Software Engineering (SE), increasingly used in development workflows. However, their widespread adoption raises concerns about…
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes
Kewen Peng, Joymallya Chakraborty, Tim Menzies
Context: Machine learning software can generate models that inappropriately discriminate against specific protected social groups (e.g., groups based on gender, ethnicity, etc). Mo…