Multi-Lingual Prompt: Few-shot inference using multilingual examples in low-resource languages

Abstract

While large language models demonstrate high performance on English tasks, it is known that their performance relatively decreases when solving tasks in low-resource languages. To address this issue, this paper proposes few- shot inference using multilingual examples. In this study, we employed the natural language inference task as a metric to measure the inference performance of large language models under low-resource languages. As a result, our proposed method showed performance improvements on two tasks, FEVER and ANLI.