---
title: "Who cites QQATeam at Qur'an QA 2022: — 3 citing papers"
description: "3 papers of the Elamur Research library cite «QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/cited-by/"
---
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# Who cites «QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task»](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/)

1. **[Qur'an QA 2023 Shared Task: Overview of Passage Retrieval and Reading Comprehension Tasks over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2023-qur-qa-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*2023 · 33 citations*
2. **[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*
3. **[GYM at Qur'an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/mahmoudi-2023-gym-qur-qa-2023-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ghazaleh Mahmoudi, Yeganeh Morshedzadeh, Sauleh Eetemadi*2023 · 7 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/) — QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task