4 citations · 5 across the 5 of their papers we have counts for
5 papers
Affective Context Amplifies Sycophancy in LLM Responses
Jiayi Li, Sanjana Menon, Brett Frischmann +2
As conversational companions, large language models (LLMs) often have access to users' emotional states. We study how this affective context modulates LLM sycophancy in subjective,…
A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas
Pranav Narayanan Venkit, Jiayi Li, Yingfan Zhou +2
As LLMs (large language models) are increasingly used to generate synthetic personas particularly in data-limited domains such as health, privacy, and HCI, it becomes necessary to…
Can Third-parties Read Our Emotions?
Jiayi Li, Yingfan Zhou, Pranav Narayanan Venkit +4
Natural Language Processing tasks that aim to infer an author's private states, e.g., emotions and opinions, from their written text, typically rely on datasets annotated by third-…
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam +2
Our research investigates the impact of Generative Artificial Intelligence (GAI) models, specifically text-to-image generators (T2Is), on the representation of non-Western cultures…
Race and Privacy in Broadcast Police Communications
Pranav Narayanan Venkit, Christopher Graziul, Miranda Ardith Goodman +2
Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, littl…