Late Adapter Tuning: A Cost-Effective Approach to Parameter-Efficient Fine-Tuning for Large Language Models.

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Title: Late Adapter Tuning: A Cost-Effective Approach to Parameter-Efficient Fine-Tuning for Large Language Models.
Authors: Gao, Z.1, gaozhengjie@guc.edu.cn, Li, R.2, lrch137@163.com, Fan, Y.2, lu.alex275104@gmail.com, Liao, M.2, liaomin@guc.edu.cn, Song, X.2, songxinyu@guc.edu.cn
Source: International Journal of Computers, Communications & Control; Dec2025, Vol. 20 Issue 6, p1-17, 17p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Late Adapter Tuning: A Cost-Effective Approach to Parameter-Efficient Fine-Tuning for Large Language Models.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computers%2C+Communications+%26+Control%22">International Journal of Computers, Communications & Control</searchLink>; Dec2025, Vol. 20 Issue 6, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189834218
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        Value: 10.15837/ijccc.2025.6.6928
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      – Code: eng
        Text: English
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      – TitleFull: Late Adapter Tuning: A Cost-Effective Approach to Parameter-Efficient Fine-Tuning for Large Language Models.
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              M: 12
              Text: Dec2025
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              Y: 2025
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