AI RESEARCH
Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks
arXiv CS.CL
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ArXi:2603.21404v1 Announce Type: new Large language models are increasingly used to annotate texts, but their outputs reflect some human perspectives better than others. Existing methods for correcting LLM annotation error assume a single ground truth. However, this assumption fails in subjective tasks where disagreement across graphic groups is meaningful. Here we