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        <title>Dispatcher: A Message-Passing Approach to Language Modelling</title>
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        <namePart type="given">Alberto</namePart>
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            <title>Proceedings of the 2022 CLASP Conference on (Dis)embodiment</title>
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            <namePart type="given">Simon</namePart>
            <namePart type="family">Dobnik</namePart>
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        <name type="personal">
            <namePart type="given">Julian</namePart>
            <namePart type="family">Grove</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Asad</namePart>
            <namePart type="family">Sayeed</namePart>
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    <abstract>This paper proposes a message-passing mechanism to address language modelling. A new layer type is introduced that aims to substitute self-attention for unidirectional sequence generation tasks. The system is shown to be competitive with existing methods: Given N tokens, the computational complexity is O(N logN) and the memory complexity is O(N) under reasonable assumptions. In the end, the Dispatcher layer is seen to achieve comparable perplexity to self-attention while being more efficient.</abstract>
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        <url>https://aclanthology.org/2022.clasp-1.3</url>
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%0 Conference Proceedings
%T Dispatcher: A Message-Passing Approach to Language Modelling
%A Cetoli, Alberto
%Y Dobnik, Simon
%Y Grove, Julian
%Y Sayeed, Asad
%S Proceedings of the 2022 CLASP Conference on (Dis)embodiment
%D 2022
%8 September
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F cetoli-2022-dispatcher
%X This paper proposes a message-passing mechanism to address language modelling. A new layer type is introduced that aims to substitute self-attention for unidirectional sequence generation tasks. The system is shown to be competitive with existing methods: Given N tokens, the computational complexity is O(N logN) and the memory complexity is O(N) under reasonable assumptions. In the end, the Dispatcher layer is seen to achieve comparable perplexity to self-attention while being more efficient.
%U https://aclanthology.org/2022.clasp-1.3
%P 24-29

Markdown (Informal)

[Dispatcher: A Message-Passing Approach to Language Modelling](https://aclanthology.org/2022.clasp-1.3) (Cetoli, CLASP 2022)

• Dispatcher: A Message-Passing Approach to Language Modelling (Cetoli, CLASP 2022)

ACL

• Alberto Cetoli. 2022. Dispatcher: A Message-Passing Approach to Language Modelling. In Proceedings of the 2022 CLASP Conference on (Dis)embodiment, pages 24–29, Gothenburg, Sweden. Association for Computational Linguistics.