Papers by Shih-Heng Wang
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning (2024.naacl-srw)
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| Challenge: | Parameter-efficient (PE) methods for adapting pre-trained language models to downstream tasks are still lacking in many cases. |
| Approach: | They propose a general PE priming framework to enhance few-shot adaptation and generalization ability of PE methods. |
| Outcome: | The proposed framework reveals that the best priming strategy facilitates adaptation to target tasks. |