9 citations · 23 across the 7 of their papers we have counts for
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cs.CL2024★ 2 cited
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
Siqi Shen, Lajanugen Logeswaran, Moontae Lee +3
Large language models (LLMs) have demonstrated substantial commonsense understanding through numerous benchmark evaluations. However, their understanding of cultural commonsense re…
cs.CL2024★ 1 cited
The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models
Siyang Liu, Trish Maturi, Bowen Yi +2
We explore the alignment of values in Large Language Models (LLMs) with specific age groups, leveraging data from the World Value Survey across thirteen categories. Through a diver…