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PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

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