Papers with calibration model

1 papers
Can Explanations Be Useful for Calibrating Black Box Models? (2022.acl-long)

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Challenge: Existing models are often used as black boxes to adapt to new domains, but there is no single recipe for making them work.
Approach: They propose to use black box models to improve their performance on new domains by leveraging explanations of their behavior.
Outcome: The proposed method improves model generalization performance on two tasks using explanations.

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