"Linear Transformers with Learnable Kernel Functions are Better In-Context ..."

Yaroslav Aksenov et al. (2024)

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DOI: 10.48550/ARXIV.2402.10644

access: open

type: Informal or Other Publication

metadata version: 2024-02-26

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  - journals/corr/abs-2402-10644
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  - https://dblp.org/rec/journals/corr/abs-2402-10644
Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov:
Linear Transformers with Learnable Kernel Functions are Better In-Context Models. CoRR abs/2402.10644 (2024)

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