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Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation
Keren Artiaga, Sabyasachi Kamila, Haithem Afli +2
Sign Language Translation has advanced with deep learning, yet evaluations remain largely signer-dependent, with overlapping signers across train/dev/test. This raises concerns abo…
The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness
Manuel Frank, Haithem Afli
Embedding benchmarks like MTEB report a single score per model, implicitly treating robustness as a static, scalar property. We argue that embedding robustness is multidimensional,…
Operationalising the Right to be Forgotten in LLMs: A Lightweight Sequential Unlearning Framework for Privacy-Aligned Deployment in Politically Sensitive Environments
Esen Kurt, Haithem Afli
Large Language Models (LLMs) are increasingly deployed in politically sensitive environments, where memorisation of personal data or confidential content raises regulatory concerns…
The Influence of Iconicity in Transfer Learning for Sign Language Recognition
Keren Artiaga, Conor Lynch, Haithem Afli +1
Most sign language recognition research relies on Transfer Learning (TL) from vision-based datasets such as ImageNet. Some extend this to alternatively available language datasets,…