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Must-read papers on prompt-based tuning for pre-trained language models.

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LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 (ICLR 2022) https://openreview.net/pdf?id=HCRVf71PMF

Update paper “LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER“ accepted by COLING 2022 Add paper "Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning" arxiv 2022.5

Thanks for creating this repository! It's a very comprehensive source of information. Could you please add our ICML 2023 paper, [POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models ](https://arxiv.org/abs/2305.00350)? The...

Adding new paper on the novel task of **Prompt Performance Prediction** by Bizzozzero, et al. (2023/06)