--- title: "Who cites Overview of OSACT5 Shared — 15 citing papers" description: "15 papers of the Elamur Research library cite «Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech…" canonical: "https://research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Overview of OSACT5 Shared Task on Arabic…](https://md.research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/) / cited by # Who cites «Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection» 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 «Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection»](https://md.research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/) 1. **[CultureLLM: Incorporating Cultural Differences into Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Cheng Li, Mengzhou Chen, Jindong Wang, et al.*2024 · 162 citations* 2. **[JASMINE: Arabic GPT Models for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/nagoudi-2023-jasmine-arabic-gpt-models-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.*2023 · 38 citations* 3. **[MAHED Shared Task: Multimodal Detection of Hope and Hate Emotions in Arabic Content](https://md.research.elamur.ai/free/en/papers/zaghouani-2025-mahed-shared-task-multimodal-detection/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Wajdi Zaghouani, Md. Rafiul Biswas, Mabrouka Bessghaier, et al.*2025 · 22 citations* 4. **[KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://md.research.elamur.ai/free/en/papers/heakl-2025-kitab-bench-comprehensive-multi-domain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.*2025 · 21 citations* 5. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations* 6. **[AraSafe: Benchmarking Safety in Arabic LLMs](https://md.research.elamur.ai/free/en/papers/mubarak-2025-arasafe-benchmarking-safety-arabic-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hamdy Mubarak, Abubakr Mohamed, Majd Hawasly*2025 · 6 citations* 7. **[From Comments to Harm: A Findings Report on Abusive Tamil Text Targeting Women on Social Media Shared Task](https://md.research.elamur.ai/free/en/papers/sivagnanam-2026-comments-harm-findings-report-abusive/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Bhuvaneswari Sivagnanam, Kathiravan Pannerselvam, Jananayagan, et al.*2026 · 5 citations* 8. [**Toxic language detection: a systematic review of Arabic datasets arXiv:2312.07228**Imene Bensalem, Paolo Rosso, Hanane Zitouni*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bensalem-2023-toxic-language-detection-systematic-review/) 9. **[Multi-task Learning with Active Learning for Arabic Offensive Speech Detection](https://md.research.elamur.ai/free/en/papers/alansari-2025-multi-task-learning-active-learning/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Aisha Alansari, Hamzah Luqman*2025 · 2 citations* 10. [**AraDetox: A Multi-Dialect Arabic Detoxification Dataset arXiv:2608.22894 · ArabicNLP 2026 at EMNLP 2026 Conference**Mo El-Haj*2026*](https://md.research.elamur.ai/free/en/papers/el-haj-2026-aradetox-multi-dialect-arabic-detoxification/) 11. [**ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts arXiv:2609.29349**Firoj Alam, Md. Rafiul Biswas, Mohamed Bayan Kmainasi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alam-2026-arguard-shared-task-harmful-content/) 4 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/) — Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection