12 citations · 22 across the 9 of their papers we have counts for
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cs.CL2023
Do Not Harm Protected Groups in Debiasing Language Representation Models
Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain
Language Representation Models (LRMs) trained with real-world data may capture and exacerbate undesired bias and cause unfair treatment of people in various demographic groups. Sev…
cs.CL2023
Learning the Legibility of Visual Text Perturbations
Dev Seth, Rickard Stureborg, Danish Pruthi +1
Many adversarial attacks in NLP perturb inputs to produce visually similar strings ('ergo' 'rgo') which are legible to humans but degrade model performance. Althou…
cs.HC2023★ 9 cited
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
Rickard Stureborg, Bhuwan Dhingra, Jun Yang
Human data labeling is an important and expensive task at the heart of supervised learning systems. Hierarchies help humans understand and organize concepts. We ask whether and how…