AQL-Lite: enabling efficient knowledge acquisition for Arabic LLMs via data-centric continual pretraining
Read the original at arxiv.org→arXiv:2610.30344v1 Announce Type: new Abstract: Training Arabic large language models faces challenges from noisy web data, dialectal variation, and the high cost of continual pretraining (CPT). We introduce...
Original headline: "AQL-Lite: Enabling Efficient Knowledge Acquisition for Arabic LLMs via Data-Centric Continual Pretraining"
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- Oct 23, 04:00 UTC arXiv cs.CL lead source AQL-Lite: Enabling Efficient Knowledge Acquisition for Arabic LLMs via Data-Centric Continual Pretraining