Text embedding models yield detailed conceptual knowledge maps derived from short multiple-choice quizzes.

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Bibliographic Details
Title: Text embedding models yield detailed conceptual knowledge maps derived from short multiple-choice quizzes.
Authors: Fitzpatrick PC; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA., Heusser AC; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA., Manning JR; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA. Jeremy.R.Manning@Dartmouth.edu.
Source: Nature communications [Nat Commun] 2026 Mar 24; Vol. 17 (1). Date of Electronic Publication: 2026 Mar 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-026-69746-w