Large Language Models in Cellulose Biopolymer Studies: Evaluating ChatGPT and Microsoft Copilot for Information and Reference Accuracy.
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| Title: | Large Language Models in Cellulose Biopolymer Studies: Evaluating ChatGPT and Microsoft Copilot for Information and Reference Accuracy. |
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| Authors: | Ahmad, Mesbah1,2, Rahman, Tanmay3, Kasera, Nitesh Kumar4, Ahmed, Shoeb2, shoebahmed@che.buet.ac.bd, Murray, Richard, rmurray@wiley.com |
| Source: | International Journal of Intelligent Systems; 4/11/2026, Vol. 2026, p1-10, 10p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/int/2260439 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Large Language Models in Cellulose Biopolymer Studies: Evaluating ChatGPT and Microsoft Copilot for Information and Reference Accuracy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ahmad, Mesbah – PersonEntity: Name: NameFull: Rahman, Tanmay – PersonEntity: Name: NameFull: Kasera, Nitesh Kumar – PersonEntity: Name: NameFull: Ahmed, Shoeb – PersonEntity: Name: NameFull: Murray, Richard IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 04 Text: 4/11/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08848173 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: International Journal of Intelligent Systems Type: main |
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