---
title: "Who cites QAES: First Publicly-Available — 15 citing papers"
description: "15 papers of the Elamur Research library cite «QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic…"
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# Who cites «QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays»](https://md.research.elamur.ai/free/en/papers/bashendy-2024-qaes-first-publicly-available-trait/)

1. **[BAREC Shared Task 2025 on Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/elmadani-2025-barec-shared-task-2025-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khalid N. Elmadani, Bashar Alhafni, Hanada Taha, et al.*2025 · 18 citations*
2. **[Guidelines for Fine-grained Sentence-level Arabic Readability Annotation](https://md.research.elamur.ai/free/en/papers/habash-2025-guidelines-fine-grained-sentence-level/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, et al.*2025 · 18 citations*
3. **[LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring](https://md.research.elamur.ai/free/en/papers/bashendy-2026-laila-large-trait-based-dataset/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**May Bashendy, Walid Massoud, Sohaila Eltanbouly, et al.*2026 · 6 citations*
4. **[Feature Engineering is not Dead: A Step Towards State of the Art for Arabic Automated Essay Scoring](https://md.research.elamur.ai/free/en/papers/sayed-2025-feature-engineering-is-not-dead/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Marwan Sayed, Sohaila Eltanbouly, May Bashendy, et al.*2025 · 5 citations*
5. **[ARxHYOKA at TAQEEM2025: Comparative Approaches to Arabic Essay Trait Scoring](https://md.research.elamur.ai/free/en/papers/alnajjar-2025-arxhyoka-taqeem2025-comparative-approaches-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamad Alnajjar, Ahmad Almoustafa, Tomohiro Nishiyama, et al.*2025 · 3 citations*
6. **[A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://md.research.elamur.ai/free/en/papers/alhafni-2026-bilingual-bimodal-benchmark-arabic-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bashar Alhafni, Injy Hamed, Fadhl Eryani, et al.*2026 · 1 citation*
7. **[Evaluating Prompt Relevance in Arabic Automatic Essay Scoring: Insights from Synthetic and Real-World Data](https://md.research.elamur.ai/free/en/papers/qwaider-2025-evaluating-prompt-relevance-arabic-automatic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Chatrine Qwaider, Kirill Chirkunov, Bashar Alhafni, et al.*2025 · 1 citation*
8. **[LIS at BAREC Shared Task 2025: Multi-Scale Curriculum Learning for Arabic Sentence-Level Readability Assessment Using Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/djoudi-2025-lis-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anya Amel Nait Djoudi, Patrice Bellot, Adrian-Gabriel Chifu*2025 · 1 citation*
9. [**Automated Scoring of Arabic Text Using Large Language Models: A Literature Review arXiv:2606.09830**Khaoula Dahimi, Hadda Cherroun, Amel Belabbaci*2026*](https://md.research.elamur.ai/free/en/papers/dahimi-2026-automated-scoring-arabic-text-using/)
10. **[Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait](https://md.research.elamur.ai/free/en/papers/bashendy-2026-corruption-based-data-augmentation-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**May Saed Bashendy, Tamer Elsayed*2026*
11. **[Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach](https://md.research.elamur.ai/free/en/papers/mandhari-2026-structured-prompting-arabic-essay-proficiency/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.*2026*

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/bashendy-2024-qaes-first-publicly-available-trait/) — QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays
