activity
20242026
most citedDo Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

All-in-One Conditioning for Text-to-Image Synthesis

Hirunima Jayasekara, Chuong Huynh, Yixuan Ren +2

Accurate interpretation and visual representation of complex prompts involving multiple objects, attributes, and spatial relationships is a critical challenge in text-to-image synt…

cs.CL2026

Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations

Christabel Acquaye, Yi Ting Huang, Marine Carpuat +1

Standardized math assessments require expensive human pilot studies to establish the difficulty of test items. We investigate the predictive value of open-source large language mod…

cs.CL2025

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…

cs.CL2024

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S

Christabel Acquaye, Haozhe An, Rachel Rudinger

Recent work has highlighted the culturally-contingent nature of commonsense knowledge. We introduce AMAMMER, a test set of 525 multiple-choice questions designed to evaluate the…

cs.CL2024★ 1 cited

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?

Haozhe An, Christabel Acquaye, Colin Wang +2

We examine whether large language models (LLMs) exhibit race- and gender-based name discrimination in hiring decisions, similar to classic findings in the social sciences (Bertrand…