Work

CIDAR: Culturally Relevant Instruction Dataset For Arabic

Year: 2024

Type: conference-paper

Abstract: Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, Deema Alnuhait, Saied Alshahrani, Gubran A. Q. Abdulrahman, Gamil Ahmed, Qais Gawah, Zead Saleh, Mustafa Ghaleb, Yousef Ali, Maged S. Al-shaibani. Findings of the Association for Computational Linguistics: ACL 2024. 2024.

Source: Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

DOI: 10.18653/v1/2024.findings-acl.764

Authors: Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, Deema Alnuhait, Saied Alshahrani, Gubran Abdulrahman, Gamil Ahmed, Qais Gawah, Zead Saleh, Mustafa Ghaleb, Yousef Ali, Maged Al-shaibani

Institutions: King Fahd University of Petroleum and Minerals, Prince Sattam Bin Abdulaziz University, University of Illinois Urbana-Champaign, Clarkson University, University of Bisha

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4402670070

FWCI: 2.021

Cites:

Cited by: 7

Related to: 10