Papers with uncertainty estimation method

2 papers
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks (2025.findings-naacl)

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Challenge: Existing methods for uncertainty estimation are inadequate for safety-critical applications.
Approach: They propose a method that uses the distances from neighbors and the ratio of labels in neighbors to estimate uncertainty.
Outcome: The proposed method outperforms baseline and density-based methods in calibration and uncertainty metrics.
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks (2023.acl-long)

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Challenge: Existing methods for text classification tasks are inherently ambiguous and can cause errors.
Approach: They propose a method that combines epistemic and aleatoric uncertainty to estimate toxicity detection errors.
Outcome: The proposed method outperforms existing methods for toxicity detection and other ambiguous text classification tasks.

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