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most citedCan Large Language Models Automatically Score Proficiency of Written Essays?

4 citations · 4 across the 6 of their papers we have counts for

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cs.CL2026

MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring

Salam Albatarni, May Bashendy, Sohaila Eltanbouly +1

Automated Essay Scoring (AES) faces significant challenges in cross-prompt settings, where models must generalize to unseen writing prompts. To address this limitation, we propose…

cs.CL2026

Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays

Hoor Elbahnasawi, Marwan Sayed, Sohaila Eltanbouly +2

Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing the proficiency of student writing. D…

cs.CL2026

LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring

May Bashendy, Walid Massoud, Sohaila Eltanbouly +5

Automated Essay Scoring (AES) has gained increasing attention in recent years, yet research on Arabic AES remains limited due to the lack of publicly available datasets. To address…

cs.CL2025

TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring

Sohaila Eltanbouly, Salam Albatarni, Tamer Elsayed

Research on holistic Automated Essay Scoring (AES) is long-dated; yet, there is a notable lack of attention for assessing essays according to individual traits. In this work, we pr…

cs.CL2024★ 4 cited

Can Large Language Models Automatically Score Proficiency of Written Essays?

Watheq Mansour, Salam Albatarni, Sohaila Eltanbouly +1

Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness. Large…