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Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

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Causal language modeling

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Causal language modeling

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Feature extraction

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Causal language modeling

Token classification

Semantic segmentation

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Image classification

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