March 5, 2024, 2:51 p.m. | Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, Abdelrahman Mohamed, Muhammad Abdul-Mageed

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.01031v1 Announce Type: new
Abstract: Multimodal large language models (MLLMs) have proven effective in a wide range of tasks requiring complex reasoning and linguistic comprehension. However, due to a lack of high-quality multimodal resources in languages other than English, success of MLLMs remains relatively limited to English-based settings. This poses significant challenges in developing comparable models for other languages, including even those with large speaker populations such as Arabic. To alleviate this challenge, we introduce a comprehensive family of Arabic …

arabic arxiv benchmarks cs.ai cs.cl family language language models large language large language models multimodal peacock type

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