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Adapting BigScience Multilingual Model to Unseen Languages

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arxiv 2204.04873 v1 pith:DBPXOCJI submitted 2022-04-11 cs.CL cs.AIcs.LG

classification cs.CLcs.AIcs.LG
keywords languagesmodelbigsciencelanguagemultilingualadaptabilityadaptingadding
verification ladder T0 review T1 audit T2 compute T3 formal

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We benchmark different strategies of adding new languages (German and Korean) into the BigScience's pretrained multilingual language model with 1.3 billion parameters that currently supports 13 languages. We investigate the factors that affect the language adaptability of the model and the trade-offs between computational costs and expected performance.

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  1. ChocoLlama: Lessons Learned From Teaching Llamas Dutch

    cs.CL 2024-12 conditional novelty 5.0 of 10

    Continued pretraining with LoRA and a Dutch-specific tokenizer improves Llama-2's Dutch, but gives limited gains for already-multilingual Llama-3.

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