Webster, Kellie
Yonghao
8 papers on CoChat
Most cited papers
- Verified
Underspecification Presents Challenges for Credibility in Modern Machine Learning
D'Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., et al. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning
Cited by 398
- Verified
Social Biases in NLP Models as Barriers for Persons with Disabilities
Hutchinson, B., Prabhakaran, V., Denton, E., Webster, K., Zhong, Y., & Denuyl, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 274
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Social Biases in NLP Models as Barriers for Persons with Disabilities
Hutchinson, B., Prabhakaran, V., Denton, E., Webster, K., Zhong, Y., & Denuyl, S. (2020) · arXiv
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 274
- Verified
Mind the GAP: A balanced corpus of gendered ambiguous pronouns
Webster, K., Recasens, M., Axelrod, V., & Baldridge, J. (2018) · Transactions of the Association for Computational Linguistics
Natural Language Processing TechniquesTopic Modeling
Cited by 223
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Measuring and Reducing Gendered Correlations in Pre-trained Models
Webster, K., Wang, X., Tenney, I., Beutel, A., Pitler, E., Pavlick, E., Chen, J., Chi, E., & Petrov, S. (2020) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 195
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
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Unintended machine learning biases as social barriers for persons with disabilitiess
Hutchinson, B., Prabhakaran, V., Denton, R., Webster, K., Zhong, Y., & Denuyl, S. (2020) · ACM SIGACCESS Accessibility and Computing
Ethics and Social Impacts of AIDisability Rights and Representation
Cited by 49
- Verified
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv
Topic ModelingAuthorship Attribution and Profiling
Cited by 30
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