Benchmarking and optimization of multi-modal and multi-lingual Arabic models

Alam, Firoj (Lead Principal Investigator)
Martino, Giovanni Da San (Principal Investigator)

Qatar Computing Research Institute

University of Padova

Project: Basic Research

Abstract

The project explores the use of AI technology to support multi-modal and multi-lingual information needs and knowledge tasks, including the development of methods, data sets, and benchmarking frameworks for specialized and large language models.

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)

Sponsor's Award Number	QCRI-CORE-000008
Proposal ID	QCRI-CORE-000008
Status	Active
Effective start/end date	1/07/23 → 1/06/26

Collaborative partners

Hamad Bin Khalifa University (lead)
University of Padova

Primary Theme

Artificial Intelligence

Primary Subtheme

AI - Analytics & Decision Support

Secondary Theme

Social Progress

Secondary Subtheme

SP - Arabic Language, Culture & Heritage

Keywords

Multi-modal LMs
Multi-lingual & dialectal LMs
Benchmarking