AI RESEARCH
The Ghost Annotator: a Framework to Explore Human Label Variation in Content Moderation through Conformal Prediction
arXiv CS.CL
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ArXi:2606.02911v1 Announce Type: new Current research primarily focuses on model performance, while comparatively less attention has been devoted to uncertainty estimation, particularly in settings where LLMs are increasingly used to generate annotated data. We