Papers with explicit de-biasing process

1 papers
Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning (2023.eacl-main)

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Challenge: Recent studies show that textual entailment learning reduces social biases in pretrained sentence encoders.
Approach: They compare pretrained sentence encoders with textual entailment models that learn language logic for downstream language understanding tasks.
Outcome: The proposed models outperform models with lower bias without debiasing processes on stereotype, profession, and emotion bias tests.

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