Zhou, Kaitlyn

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

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The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Gordon, M. L., Zhou, K., Patel, K., Hashimoto, T., & Bernstein, M. S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Hate Speech and Cyberbullying DetectionMachine Learning and Data Classification

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Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

Zhou, K., Hwang, J. D., Ren, X., & Sap, M. (2024) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

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Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

Zhou, K., Jurafsky, D., & Hashimoto, T. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

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