Enhancing the summarizing capability of Google’s Pegasus by learning from human feedback

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorSigg, Stephan
dc.contributor.authorNguyen, Tung
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorAndraud, Martin
dc.date.accessioned2022-06-21T08:11:20Z
dc.date.available2022-06-21T08:11:20Z
dc.date.issued2022-06-03
dc.format.extent22+6
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/115301
dc.identifier.urnURN:NBN:fi:aalto-202206214141
dc.language.isoenen
dc.programmeAalto Bachelor's Programme in Science and Technologyfi
dc.programme.majorDigital Systems and Designen
dc.programme.mcodeELEC3056fi
dc.subject.keywordtext summarizationen
dc.subject.keywordhuman preference dataseten
dc.subject.keywordPEGASUSen
dc.subject.keywordGPT-3en
dc.subject.keywordproximal policy optimization algorithmen
dc.subject.keywordReddit TLen
dc.subject.keywordDR dataseten
dc.titleEnhancing the summarizing capability of Google’s Pegasus by learning from human feedbacken
dc.typeG1 Kandidaatintyöfi
dc.type.dcmitypetexten
dc.type.ontasotBachelor's thesisen
dc.type.ontasotKandidaatintyöfi

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