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Aleksandr Rubashevskii

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Conformal Prediction for Federated Uncertainty Quantification Under Label Shift

    2023 · arXiv (Cornell University)

    Federated Learning (FL) is a machine learning framework where many clients collaboratively train models while keeping the training data decentralized. Despite recent advances in FL, the uncertainty quantification topic (UQ) remains partially addressed. Among UQ …

  2. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

    2024 · arXiv (Cornell University)

    Large language models (LLMs) are notorious for hallucinating, i.e., producing erroneous claims in their output. Such hallucinations can be dangerous, as occasional factual inaccuracies in the generated text might be obscured by the rest of …