Papers with secondary biased model

1 papers
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities (2023.eacl-main)

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Challenge: Several proposals have been put forward for improving out-of-distribution performance by mitigating dataset biases.
Approach: They propose a fine-tuning strategy that incorporates the similarity between the main and biased model attribution scores in a Product of Experts (PoE) loss function to further improve OOD performance.
Outcome: The proposed method improves OOD performance while maintaining in-distribution performance.

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