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cs.CL2026
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…
cs.CL2026
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,…
cs.CL2026
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,…