🧑‍🔬 Who cites Ahmed Frikha

22 citations of their works from 22 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Ahmed Frikha

1. PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and RestorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqian Zeng, Jianwei Wang, Junyao Yang, et al.2025 · 13 citations
2. Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
3. Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt OptimizationFindings of the Association for Computational LinguisticsGabriel Loiseau, Damien Sileo, Damien Riquet, et al.2026 · 2 citations
4. Arabic Sentence Segmentation Across Genres and Punctuation ConditionsMohammed Elkholy, Khalid N. Elmadani, Nizar Habash, et al.2026 · 1 citation
5. Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMsarXiv:2607.03936Kareem Elozeiri, Mervat Abassy, Omar Kallas, et al.2026 · 1 citation
6. Linear Semantic Segmentation for Low-Resource Spoken DialectsFindings of the Association for Computational LinguisticsKirill Chirkunov, Younes Samih, Abed Alhakim Freihat, et al.2026 · 1 citation
7. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM EvaluationarXiv:2604.03395Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.2026
8. Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language ModelsarXiv:2609.16006Enes Altinisik, Hamdy Mubarak, Masoomali Fatehkia, et al.2026
9. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer SelectionarXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.2026
10. Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and HaditharXiv:2603.23972Somaya Eltanbouly, Samer Rashwani2026
11. Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching TextWorkshop on NLP for Languages Using Arabic ScriptSamaher Alghamdi, Paul Rayson, Reem Alotibi2026
12. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data GenerationFindings of the Association for Computational LinguisticsQian Ma, Sarah Rajtmajer2026
13. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
14. Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMsarXiv:2609.23955Mai Mohamed Eida, Ryan Dolan, Paul de Nijs, et al.2026
15. Subject-level Inference for Realistic Text Anonymization EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, et al.2026
16. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
17. YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language ModelsMahmoud Reda, Salam Khalifa, Reham Marzouk, et al.2026

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