SignDPO uses hierarchical perturbations, self-guided attention-based sampling, and an automated language-level preference generator to align skeleton trajectories with linguistic semantics, outperforming prior gloss-free methods on CSL-Daily, How2Sign, and OpenASL.
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SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation
SignDPO uses hierarchical perturbations, self-guided attention-based sampling, and an automated language-level preference generator to align skeleton trajectories with linguistic semantics, outperforming prior gloss-free methods on CSL-Daily, How2Sign, and OpenASL.