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dc.contributor.authorMandloi, Namanen_US
dc.contributor.authorKopikar, Mokshen_US
dc.date.accessioned2025-10-10T12:36:03Z
dc.date.available2025-10-10T12:36:03Z
dc.date.issued2025-07
dc.identifier.urihttps://hdl.handle.net/1721.1/163124
dc.description.abstractRecognizing that students often struggle to capture all the information explained by the teacher due to various reasons, such as reading writing disabilities, language barriers, absences, and difficulty in listening and taking notes simultaneously, Supernote […] utilizes a Large Language Model (LLM) architecture to compile incomplete notes from multiple students, compare captured points, and synthesize comprehensive notes that include missing information from the teacher’s lesson.en_US
dc.titleSupernote: Crowdsource the Best Ideas and Democratize Class Notesen_US
dc.typeArticleen_US
dc.relation.journal2025 MIT AI and Education Summit
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US


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