--- title: "Who cites Halwasa: Quantify and Analyze — 11 citing papers" description: "11 papers of the Elamur Research library cite «Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case…" canonical: "https://research.elamur.ai/free/en/papers/mubarak-2024-halwasa-quantify-analyze-hallucinations-large/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mubarak-2024-halwasa-quantify-analyze-hallucinations-large/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Halwasa: Quantify and Analyze Hallucinations in…](https://md.research.elamur.ai/free/en/papers/mubarak-2024-halwasa-quantify-analyze-hallucinations-large/) / cited by # Who cites «Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case Study» 11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case Study»](https://md.research.elamur.ai/free/en/papers/mubarak-2024-halwasa-quantify-analyze-hallucinations-large/) 1. **[CIDAR: Culturally Relevant Instruction Dataset For Arabic](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-cidar-culturally-relevant-instruction-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.*2024 · 30 citations* 2. **[IslamicEval 2025: The First Shared Task of Capturing LLMs Hallucination in Islamic Content](https://md.research.elamur.ai/free/en/papers/mubarak-2025-islamiceval-2025-first-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hamdy Mubarak, Rana Malhas, Watheq Mansour, et al.*2025 · 19 citations* 3. **[AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMs](https://md.research.elamur.ai/free/en/papers/alansari-2025-arahallueval-fine-grained-hallucination-evaluation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Aisha Alansari, Hamzah Luqman*2025 · 9 citations* 4. [**Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps arXiv:2510.13430**Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alzubaidi-2025-evaluating-arabic-large-language-models/) 5. **[RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback](https://md.research.elamur.ai/free/en/papers/chen-2025-rrhf-v-ranking-responses-mitigate/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guoqing Chen, Fu Zhang, Jinghao Lin, et al.*2025 · 5 citations* 6. [**HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering arXiv:2607.20219**Abdessalam Bouchekif; Mohammed-En-Nadhir Zighem; Salah Eddine Bekhouche; Hichem Telli; Somaya Eltanbouly; Shahd Gaben; Heba Sbahi; Samer Rashwani; Mutaz Al-Khatib; Emad Mohamed; Mohammed Ghaly;, Abdenour Hadid*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-hallutruthqa-fine-grained-benchmark-hallucination/) 7. **[Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes](https://md.research.elamur.ai/free/en/papers/boussaha-2025-adapting-falcon3-7b-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.*2025 · 2 citations* 8. [**HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification arXiv:2608.03966**Salah Eddine Bekhouche; Abdessalam Bouchekif; Hichem Telli; Mohammed-En-Nadhir Zighem;, Abdenour Hadid*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bekhouche-2026-hallutruthqa-4k-fine-grained-corpus/) 9. [**Halluscoring 2026: The first shared task on llms hallucination detection and answer verification arXiv:2609.38355**Aisha Alansari, Abdessalam Bouchekif, Ahmed Hasanaath, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alansari-2026-halluscoring-2026-first-shared-task/) 10. **[The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic Text](https://md.research.elamur.ai/free/en/papers/rayes-2025-need-robust-inclusive-benchmarks-evaluating/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Lubana Al Rayes, Ashraf Elnagar*2025* 1 more paper of our library cites it; it has no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mubarak-2024-halwasa-quantify-analyze-hallucinations-large/) — Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case Study