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Are Prompt-based Models Clueless?. (arXiv:2205.09295v1 [cs.CL])
May 20, 2022, 1:11 a.m. | Pride Kavumba, Ryo Takahashi, Yasuke Oda
cs.CL updates on arXiv.org arxiv.org
Finetuning large pre-trained language models with a task-specific head has
advanced the state-of-the-art on many natural language understanding
benchmarks. However, models with a task-specific head require a lot of training
data, making them susceptible to learning and exploiting dataset-specific
superficial cues that do not generalize to other datasets. Prompting has
reduced the data requirement by reusing the language model head and formatting
the task input to match the pre-training objective. Therefore, it is expected
that few-shot prompt-based models do not …
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