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20242026
most citedHumanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally

1 citations · 1 across the 3 of their papers we have counts for

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cs.CL2026

Cultural Authenticity: Comparing LLM Cultural Representations to Native Human Expectations

Erin MacMurray van Liemt, Aida Davani, Sinchana Kumbale +2

Cultural representation in Large Language Model (LLM) outputs has primarily been evaluated through the proxies of cultural diversity and factual accuracy. However, a crucial gap re…

cs.CL2026

The Moral Foundations Reddit Corpus

Jackson Trager, Alireza S. Ziabari, Elnaz Rahmati +15

Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, environmental action, political engagement, and protest. Various computational…

cs.CL2025

Risks of Cultural Erasure in Large Language Models

Rida Qadri, Aida M. Davani, Kevin Robinson +1

Large language models are increasingly being integrated into applications that shape the production and discovery of societal knowledge such as search, online education, and travel…

cs.CL2024

GeniL: A Multilingual Dataset on Generalizing Language

Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev +2

Generative language models are transforming our digital ecosystem, but they often inherit societal biases, for instance stereotypes associating certain attributes with specific ide…

cs.CL2024

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo +6

Human annotation plays a core role in machine learning -- annotations for supervised models, safety guardrails for generative models, and human feedback for reinforcement learning,…

cs.CL2024

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation

Aida Mostafazadeh Davani, Mark Díaz, Dylan Baker +1

While human annotations play a crucial role in language technologies, annotator subjectivity has long been overlooked in data collection. Recent studies that have critically examin…