Salah G. Abu Ghalyon

Benchmarking and AI-assisted human-like evaluation of retrieval-augmented generation for Arabic and English documents

An important practical reproducible framework for multilingual RAG benchmarking and insights for optimizing performance on resource-constrained devices are contributed and support the latent language hypothesis by suggesting an internal model bias toward high-resource languages.