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VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations., , , , , , , , and . ACM Trans. Interact. Intell. Syst., 14 (1): 3:1-3:34 (March 2024)Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation., , , , , , , and . CoRR, (2024)PaLM: Scaling Language Modeling with Pathways., , , , , , , , , and 57 other author(s). CoRR, (2022)MiTTenS: A Dataset for Evaluating Misgendering in Translation., , , , and . CoRR, (2024)OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings., , , and . EMNLP (1), page 5034-5050. Association for Computational Linguistics, (2021)SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata., , , , and . CoRR, (2023)Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN., , , , and . CoRR, (2022)The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability.. University of Utah, USA, (2020)Re-contextualizing Fairness in NLP: The Case of India., , , , and . AACL/IJCNLP (1), page 727-740. Association for Computational Linguistics, (2022)Closed Form Word Embedding Alignment., , and . ICDM, page 130-139. IEEE, (2019)