Analyzing Large Language Models for Multilingual NLU: Comparing Approaches

The author compares supervised fine-tuning, supervised instruction tuning, and in-context learning approaches for multilingual few-shot learning. They find that supervised instruction tuning offers the best trade-off between performance and resource requirements.