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New Preprint: Model Diversity Over Model Size — Unanimous LLM Ensembles Correct Over-Classification in Survey Coding
Published:
I have a new preprint out on SocArXiv: Model Diversity Over Model Size: Unanimous LLM Ensembles Correct Over-Classification in Survey Coding. It’s a deep dive into one finding flagged in the CatLLM methods paper — that unanimous multi-model ensembling corrects over-classification — asking which ensemble ingredients actually drive the gain and where the gain shows up.
New Preprint: High Agreement, Different Stories — How LLM Classifiers Reshape Demographic Patterns in Survey Data
Published:
I have a new preprint out on SocArXiv: High Agreement, Different Stories: How LLM Classifiers Reshape Demographic Patterns in Survey Data. This is a substantially revised version of my earlier preprint, with new analyses centered on how high agreement rates can mask thematic and demographic divergence between LLM and human coders.
