Papers by Mohammed Erradi

2 papers
UOREX: Towards Uncertainty-Aware Open Relation Extraction (2025.naacl-long)

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Challenge: Existing methods for relation extraction are limited by their inability to accurately self-assess their performance.
Approach: They propose an approach that effectively models a part of the epistemic uncertainty within OpenRE by preventing overconfident errors.
Outcome: The proposed approach improves OpenRE reliability by preventing overconfident errors.
ART: Attention-Regularized Transformers for Multi-Modal Robustness (2026.findings-eacl)

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Challenge: Existing approaches to enhancing robustness are domain-specific or lack formal guarantees.
Approach: They propose a framework that enhances robustness across modalities by regularizing attention maps under adversarial perturbations.
Outcome: The proposed framework improves robustness across modalities and training on IMDB, QNLI, CIFAR-10, Cifar-100, and Imagenette.

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