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