Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer

• URL: http://arxiv.org/abs/2404.04042v1
• Date: Fri, 5 Apr 2024 11:52:02 GMT
• Title: Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer
• Authors: Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru, Mark Fishel,
• Abstract summary: We investigate the impact of combining cross-lingual instruction-tuning with additional monolingual pretraining on Estonian. We showcase cross-lingual knowledge transfer from high-quality English instructions to Estonian, resulting in improvements in commonsense reasoning. Our best model, named textscLlammas, represents the first open-source instruction-following LLM for Estonian.
• Score: 0.7499722271664147
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper explores cost-efficient methods to adapt pretrained Large Language Models (LLMs) to new lower-resource languages, with a specific focus on Estonian. Leveraging the Llama 2 model, we investigate the impact of combining cross-lingual instruction-tuning with additional monolingual pretraining. Our results demonstrate that even a relatively small amount of additional monolingual pretraining followed by cross-lingual instruction-tuning significantly enhances results on Estonian. Furthermore, we showcase cross-lingual knowledge transfer from high-quality English instructions to Estonian, resulting in improvements in commonsense reasoning and multi-turn conversation capabilities. Our best model, named \textsc{Llammas}, represents the first open-source instruction-following LLM for Estonian. Additionally, we publish Alpaca-est, the first general task instruction dataset for Estonia. These contributions mark the initial progress in the direction of developing open-source LLMs for Estonian.

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