activity
20242026
most citedABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Can AI Agents Synthesize Scientific Conclusions?

Hayoung Jung, Pedro Viana Diniz, José Reinaldo Corrêa Roveda +5

Scientific AI agents increasingly retrieve evidence, reason across sources, and synthesize conclusions used in consequential decisions. Yet, their ability to do so in high-stakes d…

cs.LG2026

The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety

Max Springer, Chung Peng Lee, Blossom Metevier +5

Fine-tuning aligned language models on benign tasks unpredictably degrades safety guardrails, even when training data contains no harmful content and developers have no adversarial…

cs.CL2025

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…

cs.CL2025★ 1 cited

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…

cs.CY2025

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform

Hayoung Jung, Shravika Mittal, Ananya Aatreya +3

Understanding the prevalence of misinformation in health topics online can inform public health policies and interventions. However, measuring such misinformation at scale remains…

cs.CY2024

Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa

Hayoung Jung, Prerna Juneja, Tanushree Mitra

Despite being an integral tool for finding health-related information online, YouTube has faced criticism for disseminating COVID-19 misinformation globally to its users. Yet, prio…

cs.CL2024

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…

cs.CL2024★ 1 cited

"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…