LoRA-Adv: Boosting Text Classification in Large Language Models Through Adversarial Low-Rank Adaptations

LoRA-Adv: Boosting Text Classification in Large Language Models Through Adversarial Low-Rank Adaptations

Low-rank adaptation (LoRA), a paradigm bridging the gap between large language models and fine-tuning, has demonstrated effectiveness across various natural language processing tasks. The LoRA algorithm updates only a small number of model parameters, significantly reducing the consumption of comput...

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Bibliographic Details
Main Authors: Hong Ye, Xialin Xie, Fenlong Xie, Jun Zuo, Chunyan Bu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Large language models
LoRA
adversarial training
text classification
Online Access:https://ieeexplore.ieee.org/document/11036123/
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https://ieeexplore.ieee.org/document/11036123/

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