Are Dialects Better Prompters? A Case Study on Arabic Subjective Text Classification (2025.findings-acl)
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| Challenge: | specialized fine-tuned models with Arabic and Arabizi scripts achieve the best results . transfer learning demonstrated limited effectiveness, despite ability to adapt to other regionally specific varieties . |
| Approach: | They evaluate the performance of 12 open source LLMs for Arabic and Arabizi scripts . they highlight the impact of Arabic-centric LLM fine-tuning and prompt design on models . |
| Outcome: | The results show that specialized models with Arabic and Arabizi scripts achieve the best results . |
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