Semanlink - Unsupervised deep pre-training ; LM Fine-tuning AND Arxiv Doc

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ADAM (ML) - Allen Institute for AI (AI2) - Arxiv Doc - BERT - Continual Learning - LMs: context length - NLP@Google - NLP@Stanford - Parameter-efficient fine-tuning (PEFT) - Prompting/In-context learning - Transfer learning in NLP - Yoav Goldberg -

Unsupervised deep pre-training ; LM Fine-tuning AND Arxiv Doc

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5 Documents

[2309.12307] LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

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2023-09-26 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

[2006.05987] Revisiting Few-sample BERT Fine-tuning

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2022-03-21 About

[1902.00751] Parameter-Efficient Transfer Learning for NLP

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2021-04-11 About