Papers with vet

1 papers
Reliable Gradient-free and Likelihood-free Prompt Tuning (2023.findings-eacl)

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Challenge: Large pre-trained language models are often offered as black-box APIs due to privacy or commercial constraints.
Approach: They propose to tune the soft prompts without requiring gradient computation and extend the model to include a distribution over prompts.
Outcome: The proposed methods are competitive with gradient-based approaches with full access to the PLM.

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