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license: apache-2.0
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license: apache-2.0
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language:
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- ja
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# Leia-Swallow-7B
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LEIA is a training technique for autoregressive LLMs to effectively improve their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
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This model is constructed by applying LEIA to Swallow, a Japanese-English bilingual LLM based on LLaMA 2.
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The model achieves the enhanced performance on six Japanese question answering benchmarks as reported below.
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Please refer to our paper or blog post (in Japanese) for further technical details:
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- [LEIA: Facilitating Cross-Lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation](https://arxiv.org/abs/2402.11485) (arxiv.org)
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- [LEIA: 言語間転移学習でLLMを賢くする新しい方法](#) (zenn.dev)
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## Model List
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- [Leia-Swallow-7b](https://huggingface.co/leia-llm/Leia-Swallow-7b/)
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- [Leia-Swallow-13b](https://huggingface.co/leia-llm/Leia-Swallow-13b/)
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## Empirical Results
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The model is assessed using the following six question answering benchmarks:
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- X-CODAH
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- X-CSQA
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- JCommonsenseQA
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- NIILC
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- JEMHopQA
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- JAQKET v2
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| Model | X-CODAH | X-CSQA | JCommonsenseQA | NIILC | JEMHopQA | JAQKET v2 |
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| ---- | ---- | ---- | ---- | ---- | ---- | ---- |
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| Swallow | 42.0 | 41.0 | 80.3 | 59.5 | 50.8 | 86.2 |
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| LEIA | **42.7** | **42.4** | **80.6** | **60.3** | **54.7** | **86.5** |
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For further details of this experiment, please refer to [our paper](https://arxiv.org/abs/2402.11485).
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## Contributors
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Ikuya Yamada (Studio Ousia, RIKEN)
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Ryokan Ri (LY Corporation, SB Intuitions)
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