Semantic Similarity Rating of LLM text responses substantially reduces mode collapse in silicon sampling of political thermometer scores versus direct numeric prompting, with one global temperature that generalizes from 2016 to 2020 ANES.
Edited by Roger Tourangeau and Thomas J
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Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating
Semantic Similarity Rating of LLM text responses substantially reduces mode collapse in silicon sampling of political thermometer scores versus direct numeric prompting, with one global temperature that generalizes from 2016 to 2020 ANES.