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How good are Large Language Models on African Languages?
May 1, 2024, 4:43 a.m. | Jessica Ojo, Kelechi Ogueji, Pontus Stenetorp, David Ifeoluwa Adelani
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent advancements in natural language processing have led to the proliferation of large language models (LLMs). These models have been shown to yield good performance, using in-context learning, even on tasks and languages they are not trained on. However, their performance on African languages is largely understudied relative to high-resource languages. We present an analysis of four popular large language models (mT0, Aya, LLaMa 2, and GPT-4) on six tasks (topic classification, sentiment classification, machine …
abstract arxiv context cs.ai cs.cl cs.lg good however in-context learning language language models language processing languages large language large language models llms natural natural language natural language processing performance processing tasks type
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