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Measuring Fairness of Text Classifiers via Prediction Sensitivity.

, , , , , и . ACL (1), стр. 5830-5842. Association for Computational Linguistics, (2022)

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Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal., , , , , , , , , и . ACL (Findings), стр. 658-678. Association for Computational Linguistics, (2022)Resolving Ambiguities in Text-to-Image Generative Models., , , , , , , , , и . ACL (1), стр. 14367-14388. Association for Computational Linguistics, (2023)A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop., , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1077-1086. PMLR, (2018)Incorporating Fairness in Large Scale NLU Systems., , , , , , , , , и 3 other автор(ы). WSDM, стр. 1289-1290. ACM, (2023)AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model., , , , , , , , , и 6 other автор(ы). CoRR, (2022)Measuring Fairness of Text Classifiers via Prediction Sensitivity., , , , , и . ACL (1), стр. 5830-5842. Association for Computational Linguistics, (2022)Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)., , , , , , , , , и . CoRR, (2024)