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ENSAE Palaiseau
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New estimators for the Sliced Wasserstein distance leverage cumulative distribution functions to enhance scalability and efficiency in large datasets and federated learning contexts.
Uncertainty scores, often touted as a solution for detecting LLM hallucinations, are surprisingly unreliable and inconsistent in practice.
