IterDBR: Iterative Generative Dataset Bias Reduction Framework for NLU Models
Bias in natural language understanding (NLU) models often arises from reliance on spurious correlations in datasets. Existing dataset refinement methods frequently depend on predefined biased features, limiting their ability to address hidden biases. To address this, we introduce IterDBR, an Iterati...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10930923/ |
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