parameter-efficient-finetuning

1.[Adapter] Parameter-Efficient Transfer Learning for NLP

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2.[Prompt Tuning] The Power of Scale for Parameter-Efficient Prompt Tuning

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3.Prefix-Tuning: Optimizing Continuous Prompts for Generation

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4.[P-tuning] GPT Understands, Too

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5.P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

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6.LoRA: Low-Rank Adaptation of Large Language Models

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

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