LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language. This model is constructed by applying LEIA to Swallow, a Japanese-English bilingual LLM based on LLaMA 2. The model achieves enhanced performance on four out of six Japanese question answering benchmarks and equivalent performance on the remaining two, as reported below.

Please refer to our paper or blog post (in Japanese) for further technical details.

The model is assessed using the following six question answering benchmarks:

For further details of this experiment, please refer to our paper.