2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle +2
Large Language Models (LLMs) are increasingly involved in high-stakes domains, yet how they reason about socially sensitive decisions remains underexplored. We present a large-scal…
An Interdisciplinary Approach to Human-Centered Machine Translation
Marine Carpuat, Omri Asscher, Kalika Bali +17
Machine Translation (MT) tools are widely used today, often in contexts where professional translators are not present. Despite progress in MT technology, a gap persists between sy…
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao, Hal Daumé
Faithful free-text explanations are important to ensure transparency in high-stakes AI decision-making contexts, but they are challenging to generate by language models and assess…
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
Yu Hou, Hal Daumé, Rachel Rudinger
Studies of human psychology have demonstrated that people are more motivated to extend empathy to in-group members than out-group members (Cikara et al., 2011). In this study, we i…
My LLM might Mimic AAE -- But When Should it?
Sandra C. Sandoval, Christabel Acquaye, Kwesi Cobbina +2
We examine the representation of African American English (AAE) in large language models (LLMs), exploring (a) the perceptions Black Americans have of how effective these technolog…