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OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.

, , , and . EMNLP (1), page 5034-5050. Association for Computational Linguistics, (2021)

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SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models., , , , , and . ACL (1), page 9851-9870. Association for Computational Linguistics, (2023)OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings., , , and . EMNLP (1), page 5034-5050. Association for Computational Linguistics, (2021)SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes., , , , and . CoRR, (2024)On Measures of Biases and Harms in NLP., , , , , , , , , and 1 other author(s). AACL/IJCNLP (Findings), page 246-267. Association for Computational Linguistics, (2022)Socially Aware Bias Measurements for Hindi Language Representations., , , , and . NAACL-HLT, page 1041-1052. Association for Computational Linguistics, (2022)MISGENDERED: Limits of Large Language Models in Understanding Pronouns., , and . ACL (1), page 5352-5367. Association for Computational Linguistics, (2023)The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks., , , , and . ACL (2), page 1373-1386. Association for Computational Linguistics, (2023)On Measuring and Mitigating Biased Inferences of Word Embeddings., , , and . AAAI, page 7659-7666. AAAI Press, (2020)Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies., , , , , and . EMNLP (1), page 1968-1994. Association for Computational Linguistics, (2021)Representation Learning for Resource-Constrained Keyphrase Generation., , , and . EMNLP (Findings), page 700-716. Association for Computational Linguistics, (2022)