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Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias
Demographic cue-based evaluation is widely used to study how large language models (LLMs) adapt their responses to signaled demographic attributes within and across groups. This approach typically relies on a single cue (e.g., names) as a proxy for group membership, implicitly treating different cue
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