Arxiv Doc ; Unsupervised machine learning AND Parameter-efficient fine-tuning (PEFT)
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11 Documents
[2404.03592] ReFT: Representation Finetuning for Language Models
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2024-04-08 About
[2311.11077] Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
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2023-11-25 About
[2309.12307] LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
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2023-09-26 About
[2302.06600] Task-Specific Skill Localization in Fine-tuned Language Models
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2023-08-25 About
[2307.13269] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
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2023-08-08 About
[2106.09685] LoRA: Low-Rank Adaptation of Large Language Models
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2023-03-21 About
[2002.01808] K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
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2023-01-12 About
[2205.12410] AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
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2022-12-16 About
[2205.05638] Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
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2022-12-15 About
[2106.10199] BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
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2022-09-01 About
[1902.00751] Parameter-Efficient Transfer Learning for NLP
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2021-04-11 About