Bouba Beats Kiki, and Other Regularities in the Subjective Preferences of LLMs
Users engage with large language models on tasks that are purely objective ("When was Netflix founded?"), purely subjective ("What should I name my child?") or anywhere in-between. We have rich tools for evaluating model accuracy with respect to objective criteria. However, when it comes to subjective aspects of a task...
Katy Blumer, Jon M. Kleinberg, Ravi Kumar et al.
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