1 citations · 1 across the 2 of their papers we have counts for
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Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
Navreet Kaur, Hoda Ayad, Hayoung Jung +3
Language model users often embed personal and social context in their questions. The asker's role -- implicit in how the question is framed -- creates specific needs for an appropr…
ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
Mahika Phutane, Hayoung Jung, Matthew Kim +2
Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hiring, particularly against people with…
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions
Chan Young Park, Shuyue Stella Li, Hayoung Jung +4
This study introduces ValueScope, a framework leveraging language models to quantify social norms and values within online communities, grounded in social science perspectives on n…
"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh +2
Large language models (LLMs) have emerged as an integral part of modern societies, powering user-facing applications such as personal assistants and enterprise applications like re…