Papers by Alex Pejovic
AfriInstruct: Instruction Tuning of African Languages for Diverse Tasks (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Large language models (LLMs) for African languages perform worse compared to high-resource languages. |
| Approach: | They propose a model that specializes in instruction-tuning of multiple African languages covering various tasks. |
| Outcome: | The proposed model outperforms GPT-3.5-Turbo and other models of similar size in multiple tasks. |