Prefix Tuning Using Residual Reparameterization
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DOI: 10.1109/access.2025.3554513
Abstract: Fine-tuning large language models for specific tasks requires updating and storing all parameters, leading to significant computational and storage cost issues. To address these challenges, parameter-efficient learning such as prefix tuning has gained attention. However,… read more here.
Keywords: prefix tokens; prefix; prefix tuning; residual connections ... See more keywords