12 citations · 23 across the 10 of their papers we have counts for
4 papers · 1 filter
What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models
Dustin Wright, Sarah Masud, Jared Moore +5
Large language models (LLMs) are increasingly used as primary knowledge sources, yet their epistemic diversity - defined as the diversity of real-world claims in their outputs - ha…
A Template Is All You Meme
Luke Bates, Peter Ebert Christensen, Preslav Nakov +1
Templatic memes, characterized by a semantic structure adaptable to the creator's intent, represent a significant yet underexplored area within meme processing literature. With the…
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning
Peter Ebert Christensen, Srishti Yadav, Serge Belongie
Unsupported and unfalsifiable claims we encounter in our daily lives can influence our view of the world. Characterizing, summarizing, and -- more generally -- making sense of such…
Searching for Structure in Unfalsifiable Claims
Peter Ebert Christensen, Frederik Warburg, Menglin Jia +1
Social media platforms give rise to an abundance of posts and comments on every topic imaginable. Many of these posts express opinions on various aspects of society, but their unfa…