Enhancing the summarizing capability of Google’s Pegasus by learning from human feedback
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Sigg, Stephan | |
dc.contributor.author | Nguyen, Tung | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Andraud, Martin | |
dc.date.accessioned | 2022-06-21T08:11:20Z | |
dc.date.available | 2022-06-21T08:11:20Z | |
dc.date.issued | 2022-06-03 | |
dc.format.extent | 22+6 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/115301 | |
dc.identifier.urn | URN:NBN:fi:aalto-202206214141 | |
dc.language.iso | en | en |
dc.programme | Aalto Bachelor's Programme in Science and Technology | fi |
dc.programme.major | Digital Systems and Design | en |
dc.programme.mcode | ELEC3056 | fi |
dc.subject.keyword | text summarization | en |
dc.subject.keyword | human preference dataset | en |
dc.subject.keyword | PEGASUS | en |
dc.subject.keyword | GPT-3 | en |
dc.subject.keyword | proximal policy optimization algorithm | en |
dc.subject.keyword | Reddit TL | en |
dc.subject.keyword | DR dataset | en |
dc.title | Enhancing the summarizing capability of Google’s Pegasus by learning from human feedback | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |