6 citations · 6 across the 1 of their papers we have counts for
3 papers
cs.CL2026
How Far Do Persona Effects Generalize in Language Models?
Yufan Zhou, Yuxuan Liu, Enze Ma +6
Persona prompts ask language models to answer as particular kinds of people. We test whether relationships learned from these effects predict responses to new questions and remain…
cs.HC2026
Spotting (and Missing) Algorithmic Bias: Investigating User Understanding in a Fairness Assessment Tool
Anna Verheyden, Yizhe Zhang, Robin De Croon +2
Fairness metric selection is typically left to data scientists, but which biases are problematic and which metric captures them best depends on stakeholders' experience and domain…
cs.HC2025★ 6 cited
Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems
Aditya Bhattacharya, Simone Stumpf, Robin De Croon +1
Representation bias is one of the most common types of biases in artificial intelligence (AI) systems, causing AI models to perform poorly on underrepresented data segments. Althou…