Papers with customizing large language models

1 papers
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models (2025.emnlp-main)

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Challenge: Customized black-box prompt tuning is a new approach to customize large language models . however, as models grow, the resources required for training and deployment become increasingly expensive .
Approach: They propose a framework that facilitates efficient local customization while preserving bidirectional privacy.
Outcome: The proposed framework facilitates efficient local customization while preserving bidirectional privacy.

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