Text embedding models yield detailed conceptual knowledge maps derived from short multiple-choice quizzes
Abstract Real-world conceptual knowledge is complex, multifaceted, and substantially over-simplified in most laboratory studies. Here we develop a mathematical framework, based on natural language processing models, for tracking and characterizing the acquisition of real-world conceptual knowledge....
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2026-03-01
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| Rangatū: | Nature Communications |
| Urunga tuihono: | https://doi.org/10.1038/s41467-026-69746-w |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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