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.
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
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194175807
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194175807
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        Value: 10.3390/make8050138
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      – Code: eng
        Text: English
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            NameFull: Karlović, Ratomir
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            NameFull: Sever, Luka
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            NameFull: Baressi Šegota, Sandi
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              Text: May2026
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              Y: 2026
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