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100,000 Downloads: What CatLLM Has Built So Far
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Presenting CADAS at AAIC 2026 in London
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New Preprint: Model Diversity Over Model Size — Unanimous LLM Ensembles Correct Over-Classification in Survey Coding
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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.


