SLU-2K is a new closed-ended QA benchmark that measures semantic understanding in sign language video, showing MLLMs near random and fine-tuned SOTA systems at 56.7-75.2% accuracy.
Beyond gloss: A hand-centric framework for gloss-free sign language translation.arXiv preprint arXiv:2507.23575, 2025
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SLU-2K: A Question-Based Benchmark for Semantic Evaluation of Sign Language Translation
SLU-2K is a new closed-ended QA benchmark that measures semantic understanding in sign language video, showing MLLMs near random and fine-tuned SOTA systems at 56.7-75.2% accuracy.