Papers with inverse prompting strategy

1 papers
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting (2023.findings-acl)

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Challenge: Existing approaches to slot filling only learn surface mapping of slot types between D S and D T and get poor generalization capability or robustness.
Approach: They propose a generative zero-shot prompt learning framework for cross-domain slot filling which improves generalization and robustness than previous work.
Outcome: The proposed framework improves generalization and robustness on unseen slots and an efficient prompt tuning strategy boosts performance.

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