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Found 2 papers, 1 papers with code
On the Reliability of Watermarks for Large Language Models
We also consider a range of new detection schemes that are sensitive to short spans of watermarked text embedded inside a large document, and we compare the robustness of watermarking to other kinds of detectors.
Robust normalizing flows using Bernstein-type polynomials
Modeling real-world distributions can often be challenging due to sample data that are subjected to perturbations, e. g., instrumentation errors, or added random noise.
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