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        <title>Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity</title>
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    <name type="personal">
        <namePart type="given">Michael</namePart>
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    <name type="personal">
        <namePart type="given">Mehdi</namePart>
        <namePart type="family">Rezagholizadeh</namePart>
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    <name type="personal">
        <namePart type="given">Ivan</namePart>
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            <namePart type="given">Yun-Nung</namePart>
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    <abstract>We present a simple on the fly method for faster inference of large language models. Unlike other (self-)speculative decoding techniques, our method does not require fine-tuning or black-box optimization to generate a fixed draft model, relying instead on simple rules to generate varying draft models adapted to the input context. We show empirically that our light-weight algorithm is competitive with the current SOTA for self-speculative decoding, while being a truly plug-and-play method.</abstract>
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%0 Conference Proceedings
%T Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
%A Metel, Michael
%A Lu, Peng
%A Chen, Boxing
%A Rezagholizadeh, Mehdi
%A Kobyzev, Ivan
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F metel-etal-2024-draft
%X We present a simple on the fly method for faster inference of large language models. Unlike other (self-)speculative decoding techniques, our method does not require fine-tuning or black-box optimization to generate a fixed draft model, relying instead on simple rules to generate varying draft models adapted to the input context. We show empirically that our light-weight algorithm is competitive with the current SOTA for self-speculative decoding, while being a truly plug-and-play method.
%U https://aclanthology.org/2024.findings-emnlp.124
%P 2267-2272

Markdown (Informal)

[Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity](https://aclanthology.org/2024.findings-emnlp.124) (Metel et al., Findings 2024)

• Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity (Metel et al., Findings 2024)

ACL

• Michael Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, and Ivan Kobyzev. 2024. Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 2267–2272, Miami, Florida, USA. Association for Computational Linguistics.