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1 result in NLP methods

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

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This paper introduces multilingual adaptive fine-tuning (MAFT) applied to 17 of the most-resourced African languages, producing the AfroXLMR family of models. Removing non-African-script tokens cuts model size by roughly 50 percent while matching the accuracy of single-language adaptation on named entity recognition, topic classification and sentiment analysis.

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NLP methods
Verified Jul 2026Free / open

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