AGM adds a gradient-based masking loss during fine-tuning to suppress reliance on spurious tokens, achieving competitive zero-shot transfer on sentiment tasks while providing token-level interpretability.
Hughes, and Finale Doshi-Velez
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Attribution-Guided Masking for Robust Cross-Domain Sentiment Classification
AGM adds a gradient-based masking loss during fine-tuning to suppress reliance on spurious tokens, achieving competitive zero-shot transfer on sentiment tasks while providing token-level interpretability.