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Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?

, , , , , , , and . IJCNLP (1), page 744-770. Association for Computational Linguistics, (2023)

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Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification., , , , , , , , , and 2 other author(s). CoRR, (2024)Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks., , , , , , and . ACL (1), page 11659-11681. Association for Computational Linguistics, (2023)Towards Computationally Feasible Deep Active Learning., , , , , , , and . NAACL-HLT (Findings), page 1198-1218. Association for Computational Linguistics, (2022)Multidimensional assessment of R&D performance: evidence from the pilot evaluation exercise of Russian public research institutions., and . ISSI, page 1460-1465. ISSI Society, (2017)Uncertainty Estimation of Transformer Predictions for Misclassification Detection., , , , , , , , , and 2 other author(s). ACL (1), page 8237-8252. Association for Computational Linguistics, (2022)ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts., , , , , , , , , and . EMNLP (Demos), page 406-434. Association for Computational Linguistics, (2022)Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?, , , , , , , and . IJCNLP (1), page 744-770. Association for Computational Linguistics, (2023)Technological specialization of cities: a new patent-based approach and evidence from Russia., and . ISSI, page 714-725. Edizioni Efesto, (2019)