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We present a novel Parameter-Efficient Fine-Tuning (PEFT) method, dubbed as Adaptive Freezing of Low Rank Adaptation (AFLoRA).
Language models are few-shot learners
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On the effectiveness of adapter-based tuning for pretrained language model adaptation
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Dnr: A tunable robust pruning framework through dynamic network rewiring of dnns
Sparse low-rank adaptation of pre-trained language models
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Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, and Tuo Zhao. 2023 · 2023
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Instatune: Instantaneous neural architecture search during fine-tuning
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Llama 2: Open foundation and fine-tuned chat models
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