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Analysis

This paper introduces LAILA, a significant contribution to Arabic Automated Essay Scoring (AES) research. The lack of publicly available datasets has hindered progress in this area. LAILA addresses this by providing a large, annotated dataset with trait-specific scores, enabling the development and evaluation of robust Arabic AES systems. The benchmark results using state-of-the-art models further validate the dataset's utility.
Reference

LAILA fills a critical need in Arabic AES research, supporting the development of robust scoring systems.