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Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs
12 references·0 citing·51 second hop
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References

  • 1991Thinking too much: Introspection can reduce the quality of preferences and decisions.1,417 cited
  • 1977Social roles, social control, and biases in social-perception processes.541 cited
  • 1997Designing Rating Scales for Effective Measurement in Surveys539 cited
  • 2018Dimensions and Dynamics of National Culture: Synthesizing Hofstede With Inglehart461 cited
  • 2024Cultural bias and cultural alignment of large language models376 cited
  • 2020Pre‐registration: Why and How214 cited
  • 2020Don’t ask if artificial intelligence is good or fair, ask how it shifts power212 cited
  • 2023Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study163 cited
  • 2023Probing Pre-Trained Language Models for Cross-Cultural Differences in Values59 cited
  • 2020A Social Science Perspective on Artificial Intelligence: Building Blocks for a Research Agenda42 cited
  • 1996Learning to Avoid the Winner's Curse41 cited
  • 2024Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs17 cited

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