--- title: "Who cites SMASH at Qur'an QA 2022: — 2 citing papers" description: "2 papers of the Elamur Research library cite «SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question…" canonical: "https://research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SMASH at Qur'an QA 2022: Creating Better Faithful…](https://md.research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/) / cited by # Who cites «SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios»](https://md.research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/) 1. **[Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2022-qur-qa-2022-overview-first/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2022 · 32 citations* 2. **[TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QA](https://md.research.elamur.ai/free/en/papers/elkomy-2023-tce-qur-qa-2023-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohammed Elkomy, Amany Sarhan*2023 · 11 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/) — SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios