14 citations · 32 across the 28 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023
Learning to Generate Equitable Text in Dialogue from Biased Training Data
Anthony Sicilia, Malihe Alikhani
The ingrained principles of fairness in a dialogue system's decision-making process and generated responses are crucial for user engagement, satisfaction, and task achievement. Abs…
cs.CL2023★ 2 cited
HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations
Anthony Sicilia, Jennifer C. Gates, Malihe Alikhani
While demographic factors like age and gender change the way people talk, and in particular, the way people talk to machines, there is little investigation into how large pre-train…