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Mohammed Hasanuzzaman

2 accepted papers

2025

Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation

EMNLP 2025

Sign Language Translation has advanced with deep learning, yet evaluations remain largely signer-dependent, with overlapping signers across train/dev/test. This raises concerns about whether models truly generalise or instead rely on signer-specific regularities. We conduct signer-fold cross-validat

2024

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes

EMNLP 2024finding

Detecting offensive memes is crucial, yet standard deep neural network systems often remain opaque. Various input attribution-based methods attempt to interpret their behavior, but they face challenges with implicitly offensive memes and non-causal attributions. To address these issues, we propose a…