Papers with arbitrary downstream tasks

1 papers
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm (2022.findings-naacl)

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Challenge: Prompt-based learning inherits the vulnerability from pre-training, where model predictions can be misled by inserting triggers into the text.
Approach: They propose a potential solution to mitigate this vulnerability by injecting triggers into pre-trained language models using only plain text.
Outcome: The proposed learning paradigm inherits the vulnerability from the pre-training stage . it can totally control or severely decrease the performance of prompt-based models .

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