Large Language Models Encoder/decoder
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%2C%20known%20for%20their%20exceptional%20reasoning%20capabilities%2C%20generalizability%2C%20and%20fluency%20across%20diverse%20domains%2C%20present%20a%20promising%20avenue%20for%20enhancing%20speech-related%20tasks.%20In%20this%20paper%2C%20we%20focus%20on%20integrating%20decoder-only%20LLMs%20to%20the%20task%20of%20speech-to-text%20translation%20(S2TT).%20We%20propose%20a%20decoder-only%20architecture%20that%20enables%20the%20LLM%20to%20directly%20consume%20the%20encoded%20speech%20representation%20and%20generate%20the%20text%20translation.%20Additionally%2C%20we%20investigate%20the%20effects%20of%20different%20parameter-efficient%20fine-tuning%20techniques%20and%20task%20formulation.%20Our%20model%20achieves%20state-of-the-art%20performance%20on%20CoVoST%202%20and%20FLEURS%20among%20models%20trained%20without%20proprietary%20data.%20We%20also%20conduct%20analyses%20to%20validate%20the%20design%20choices%20of%20our%20proposed%20model%20and%20bring%20insights%20to%20the%20integration%20of%20LLMs%20to%20S2TT.)










![[논문 리뷰] A Large Encoder-Decoder Family of Foundation Models For ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/a-large-encoder-decoder-family-of-foundation-models-for-chemical-language-2.png)



![Evolution of Neural Networks to Language Models [Updated]](https://cdn.labellerr.com/Enhancing%20Home%20Service%20with%20Object%20Recognition/Language%20Models/0_bM9oRET5AGEdpaRv.webp)


![[2307.08234] Adapting Large Language Model with Speech for Fully ...](https://ar5iv.labs.arxiv.org/html/2307.08234/assets/enc_dec.jpg)







![[논문 리뷰] Machine Translation with Large Language Models: Decoder Only vs ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/machine-translation-with-large-language-models-decoder-only-vs-encoder-decoder-2.png)




![[2304.04052] Decoder-Only or Encoder-Decoder? Interpreting Language ...](https://ar5iv.labs.arxiv.org/html/2304.04052/assets/x1.png)


























































