MEDS is a dataset of 28,000 LLM personas performing high-school math tasks alongside psychometric tests and cognitive networks that capture math anxiety, self-efficacy, and confidence to support safer AI tutors.
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CDS is a new synthetic corpus of LLM-generated texts on vaccines, disinformation, gender gaps, and STEM stereotypes, linked to persona attributes to enable bias and alignment audits.
citing papers explorer
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Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
MEDS is a dataset of 28,000 LLM personas performing high-school math tasks alongside psychometric tests and cognitive networks that capture math anxiety, self-efficacy, and confidence to support safer AI tutors.
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Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
CDS is a new synthetic corpus of LLM-generated texts on vaccines, disinformation, gender gaps, and STEM stereotypes, linked to persona attributes to enable bias and alignment audits.