Papers by Navyansh Singh

1 papers
Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented Data (2026.acl-srw)

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Challenge: Logical fallacy detection models often over-flag valid reasoning due to spurious correlations.
Approach: They propose to augment CAD models with counterfactually-augmented data to debias them . they found that the models often over-flag valid reasoning due to spurious correlations .
Outcome: The proposed approach reduces false positive rate by 58% on a 300-sample set.

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