Evaluating the Impact of Adapter-Based Fine-Tuning on Structured Parsing Performance in Large Language Models.
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| Title: | Evaluating the Impact of Adapter-Based Fine-Tuning on Structured Parsing Performance in Large Language Models. |
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| Authors: | Karlović, Ratomir1, Sever, Luka1,2, Baressi Šegota, Sandi1, Mrzljak, Vedran2, vedran.mrzljak@riteh.uniri.hr, Lorencin, Ivan1 |
| Source: | Machine Learning & Knowledge Extraction; May2026, Vol. 8 Issue 5, p138, 23p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194175807 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194175807 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/make8050138 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 138 Titles: – TitleFull: Evaluating the Impact of Adapter-Based Fine-Tuning on Structured Parsing Performance in Large Language Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karlović, Ratomir – PersonEntity: Name: NameFull: Sever, Luka – PersonEntity: Name: NameFull: Baressi Šegota, Sandi – PersonEntity: Name: NameFull: Mrzljak, Vedran – PersonEntity: Name: NameFull: Lorencin, Ivan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25044990 Numbering: – Type: volume Value: 8 – Type: issue Value: 5 Titles: – TitleFull: Machine Learning & Knowledge Extraction Type: main |
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