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Faeze Ghorbanpour

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Decomposing and Predicting Annotation Disagreement in Harmful Content Across Languages

Annotator disagreement is increasingly recognized as a meaningful property of subjective tasks, rather than merely noise to be removed. Predicting which items are likely to be contested could help allocate annotation effort and route difficult cases to human review. We propose predicting disagreement from interpretable...

Irem Ecem Yelkanat, Faeze Ghorbanpour, Alexander Fraser · 0 citations
#natural language process... Preprint Aug 2026

Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops

It is found that latent intervention improves geometric alignment between languages, and that this improvement translates into consistent gains in cross-lingual consistency with English across both open-ended and multiple-choice QA formats, without degrading factual accuracy.

Faeze Ghorbanpour, Constanza Fierro, Alexander Fraser et al. · 1 citation · ⚡1

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