most citedOn the Relationship between Truth and Political Bias in Language Models

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent

Suyash Fulay, Prerna Ravi, Emily Kubin +3

AI is increasingly used to scale collective decision-making, but far less attention has been paid to how such systems can support procedural legitimacy, particularly the conditions…

cs.HC2026

Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

Prerna Ravi, Om Gokhale, Suyash Fulay +3

Deliberative democratic theory suggests that civic competence: the capacity to navigate disagreement, weigh competing values, and arrive at collective decisions is not innate but d…

cs.CL2024

Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts

Shrestha Mohanty, Sarah Xuan, Jacob Jobraeel +3

We focus on enhancing comprehension in small-group recorded conversations, which serve as a medium to bring people together and provide a space for sharing personal stories and exp…

cs.AI2024★ 4 cited

Bridging the Data Provenance Gap Across Text, Speech and Video

Shayne Longpre, Nikhil Singh, Manuel Cherep +40

Progress in AI is driven largely by the scale and quality of training data. Despite this, there is a deficit of empirical analysis examining the attributes of well-established data…

cs.CL2024★ 10 cited

On the Relationship between Truth and Political Bias in Language Models

Suyash Fulay, William Brannon, Shrestha Mohanty +4

Language model alignment research often attempts to ensure that models are not only helpful and harmless, but also truthful and unbiased. However, optimizing these objectives simul…