Across four open-source LLMs and three subjective-task datasets, in-context learning with multi-perspective prompts improves aggregated-label predictions in zero-shot, but disaggregated hard and soft label predictions remain poor.
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Bridging the Gap: In-Context Learning for Modeling Human Disagreement
Across four open-source LLMs and three subjective-task datasets, in-context learning with multi-perspective prompts improves aggregated-label predictions in zero-shot, but disaggregated hard and soft label predictions remain poor.