Apparent psychological profiles of LLMs are largely measurement artifacts driven by directional response bias rather than actual traits.
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Coefficient alpha and the internal structure of tests
2 Pith papers cite this work, alongside 43,211 external citations. Polarity classification is still indexing.
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LLM2Manim pipeline generates pedagogy-aware Manim animations for STEM, producing slightly better student post-test scores (83% vs 78%), learning gains (d=0.67), and engagement than PowerPoint in a controlled study.
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Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact
Apparent psychological profiles of LLMs are largely measurement artifacts driven by directional response bias rather than actual traits.
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LLM2Manim: Pedagogy-Aware AI Generation of STEM Animations
LLM2Manim pipeline generates pedagogy-aware Manim animations for STEM, producing slightly better student post-test scores (83% vs 78%), learning gains (d=0.67), and engagement than PowerPoint in a controlled study.