VertMark embeds robust, training-free watermarks into vertical domain language models by creating hidden semantic equivalence between low-frequency triggers and high-frequency domain terms via parameter swaps, supporting reliable verification with negligible performance impact.
Estimation of the youden index and its associated cutoff point
2 Pith papers cite this work. Polarity classification is still indexing.
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ReconVLA enhances pretrained vision-language-action robotic policies with conformal prediction for uncertainty estimation and failure detection without retraining.
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ReconVLA: An Uncertainty-Guided and Failure-Aware Vision-Language-Action Framework for Robotic Control
ReconVLA enhances pretrained vision-language-action robotic policies with conformal prediction for uncertainty estimation and failure detection without retraining.