1. Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
- Author
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Shen, Siqi, Logeswaran, Lajanugen, Lee, Moontae, Lee, Honglak, Poria, Soujanya, and Mihalcea, Rada
- Subjects
Computer Science - Computation and Language - Abstract
Large language models (LLMs) have demonstrated substantial commonsense understanding through numerous benchmark evaluations. However, their understanding of cultural commonsense remains largely unexamined. In this paper, we conduct a comprehensive examination of the capabilities and limitations of several state-of-the-art LLMs in the context of cultural commonsense tasks. Using several general and cultural commonsense benchmarks, we find that (1) LLMs have a significant discrepancy in performance when tested on culture-specific commonsense knowledge for different cultures; (2) LLMs' general commonsense capability is affected by cultural context; and (3) The language used to query the LLMs can impact their performance on cultural-related tasks. Our study points to the inherent bias in the cultural understanding of LLMs and provides insights that can help develop culturally aware language models.
- Published
- 2024