3 papers
cs.CL2026
Epistemic Diversity and Knowledge Collapse in Large Language Models
Dustin Wright, Sarah Masud, Jared Moore +5
Large language models (LLMs) tend to generate homogenous texts, which may impact the diversity of knowledge generated across different outputs. Given their potential to replace exi…
cs.CL2025
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…
cs.CL2024
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…