14 citations · 24 across the 7 of their papers we have counts for
7 papers
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…
AbsenceBench: Language Models Can't Tell What's Missing
Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore +3
Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a…
Are Large Language Models Consistent over Value-laden Questions?
Jared Moore, Tanvi Deshpande, Diyi Yang
Large language models (LLMs) appear to bias their survey answers toward certain values. Nonetheless, some argue that LLMs are too inconsistent to simulate particular values. Are th…
Language Models as Critical Thinking Tools: A Case Study of Philosophers
Andre Ye, Jared Moore, Rose Novick +1
Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work. But can LMs help us with critical thinking -- thinking…
A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher +9
With increased power and prevalence of AI systems, it is ever more critical that AI systems are designed to serve all, i.e., people with diverse values and perspectives. However, a…
I am a Strange Dataset: Metalinguistic Tests for Language Models
Tristan Thrush, Jared Moore, Miguel Monares +2
Statements involving metalinguistic self-reference ("This paper has six sections.") are prevalent in many domains. Can current large language models (LLMs) handle such language? In…
LLMs grasp morality in concept
Mark Pock, Andre Ye, Jared Moore
Work in AI ethics and fairness has made much progress in regulating LLMs to reflect certain values, such as fairness, truth, and diversity. However, it has taken the problem of how…