Fine-Tuning Arabic Large Language Models for improved multi-turn dialogue: A blueprint for synthetic data generation and benchmarking.

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Bibliographic Details
Title: Fine-Tuning Arabic Large Language Models for improved multi-turn dialogue: A blueprint for synthetic data generation and benchmarking.
Authors: Misbah AM; College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt., Farouk M; College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt., AbdulAzim M; College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.
Source: PloS one [PLoS One] 2026 Feb 12; Vol. 21 (2), pp. e0341905. Date of Electronic Publication: 2026 Feb 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0341905