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Liu et al., 2024 - Google Patents

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models

Liu et al., 2024

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Document ID
4680181186253573225
Author
Liu Q
Qin J
Ye W
Mou H
He Y
Wang K
Publication year
Publication venue
Proceedings of the AAAI Conference on Artificial Intelligence

External Links

Snippet

Recently, arbitrary text style transfer (TST) has made significant progress with the paradigm of prompt learning. In this paradigm, researchers often design or search for a fixed prompt for any input. However, existing evidence shows that large language models (LLMs) are …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
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    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
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