View in EDS

Research on fine-tuning strategies for text classification in the aquaculture domain by combining deep learning and large language models.

Saved in:
Bibliographic Details
Title: Research on fine-tuning strategies for text classification in the aquaculture domain by combining deep learning and large language models.
Authors: Li, Zhenglin1,2 (AUTHOR), Zhang, Sijia1,2,3 (AUTHOR) zhangsijia@dlou.edu.cn, Cao, Peirong1,2 (AUTHOR), Zhang, Jiaqi1,2 (AUTHOR), An, Zongshi1,2 (AUTHOR)
Source: Aquaculture International. Jun2025, Vol. 33 Issue 4, p1-24. 24p.
Database: Academic Search Ultimate
FullText Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 185721987
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Research on fine-tuning strategies for text classification in the aquaculture domain by combining deep learning and large language models.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Zhenglin%22">Li, Zhenglin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Sijia%22">Zhang, Sijia</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zhangsijia@dlou.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cao%2C+Peirong%22">Cao, Peirong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiaqi%22">Zhang, Jiaqi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22An%2C+Zongshi%22">An, Zongshi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Aquaculture+International%22">Aquaculture International</searchLink>. Jun2025, Vol. 33 Issue 4, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185721987
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10499-025-01942-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 1
    Titles:
      – TitleFull: Research on fine-tuning strategies for text classification in the aquaculture domain by combining deep learning and large language models.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li, Zhenglin
      – PersonEntity:
          Name:
            NameFull: Zhang, Sijia
      – PersonEntity:
          Name:
            NameFull: Cao, Peirong
      – PersonEntity:
          Name:
            NameFull: Zhang, Jiaqi
      – PersonEntity:
          Name:
            NameFull: An, Zongshi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 09676120
          Numbering:
            – Type: volume
              Value: 33
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Aquaculture International
              Type: main
ResultId 1